US3700876A - Reduced time delay auto-correlation signal processor - Google Patents

Reduced time delay auto-correlation signal processor Download PDF

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US3700876A
US3700876A US97450A US3700876DA US3700876A US 3700876 A US3700876 A US 3700876A US 97450 A US97450 A US 97450A US 3700876D A US3700876D A US 3700876DA US 3700876 A US3700876 A US 3700876A
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06GANALOGUE COMPUTERS
    • G06G7/00Devices in which the computing operation is performed by varying electric or magnetic quantities
    • G06G7/12Arrangements for performing computing operations, e.g. operational amplifiers
    • G06G7/19Arrangements for performing computing operations, e.g. operational amplifiers for forming integrals of products, e.g. Fourier integrals, Laplace integrals, correlation integrals; for analysis or synthesis of functions using orthogonal functions
    • G06G7/1928Arrangements for performing computing operations, e.g. operational amplifiers for forming integrals of products, e.g. Fourier integrals, Laplace integrals, correlation integrals; for analysis or synthesis of functions using orthogonal functions for forming correlation integrals; for forming convolution integrals

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  • the device reduces both the required time ⁇ 56] References Cited delay and integrating time in conventional auto-correlation processes by the use of a (N) by (M) matrix UNITED STATES PATENTS analog correlator.
  • the device accepts noise and signal 3,337 870 8/1967 Allen et a1.
  • the present invention relates generally to devices for detecting a signal in the presence of noise. More particularly to devices known as auto-correlators. Signal processing devices employing the auto-correlation technique having received wide application in the art in detecting a signal in a noise background. The theory behind the auto-correlation technique is well known and will not be discussed herein in detail.
  • the success of detectors employing the auto-correlation technique is due to the fact that the auto-correlation function of random (non-periodic) noise is zero. Further, it can be shown that the auto-correlation function of periodic (time-limited) noise is also zero. On the other hand, it may easily be shown that the auto-correlation function of a signal in the form of a sinusoid is another sinusoid. Further, it is likewise true that a signal in the form of a space-modulated or duration-modulated pulse train will be a function having an appreciable magnitude for relatively small values of delay time.
  • the auto-correlator provides means for obtaining the auto-correlation functions of noise and of the signal simultaneously. The comparison of these functions results in a markedly increased signal-to-noise ratio.
  • the invention consists of what may be described as an (N) by (M) matrix analog auto-correlator which is effective to reduce the required time delay or time lag of a conventional auto-correlator to a small fraction (of order [2]") and the required integrating time to a small fraction (of order M").
  • the invention accepts an input, consisting of a signal containing information and noise which are assumed to be statistically independent, and by linearly multiplying both (N) reiterated times and filtering the product for each multiplication by high pass filters forms the final function for autocorrelation. This process is repeated over (M) parallel paths, thereby reducing the integrating time required in the auto-correlation process.
  • the device further reduces the introduced time delay or time lag of an auto-correlator by the addition of random noise to the signal to be processed. This results in an increased in the bandwidth of the signal to be processed; increasing the bandwidth of the signal will result in a decrease of the time delay or time lag of an auto-correlator.
  • An object of the present invention is to provide means for increasing the signal-to-noise ratio of very low signals in a random (non-periodic) or periodic (time-limited) noise background.
  • Another object is to provide a new and improved auto-correlation detector circuit.
  • a further object of the invention is to reduce the time required in conventional auto-correlation processes.
  • FIG 1 illustrates a preferred embodiment of the autocorrelation circuit of the instant invention.
  • a signal to be processed is introduced in the detector circuit by means of a sensor 2.
  • the sensor may take the form of a number of devices, for example, an antenna or, as would be the case in Sonar applications, a transducer.
  • Random noise from a random noise generator 3 is added to this received signal, thereby increasing the bandwidth of the signal to be processed by the autocorrelation detection system circuit 1.
  • this signal undergoes (N) linear multiplications over each of (M) parallel paths.
  • the (N) by (M) matrix of the instant invention may be referred to as an averager.
  • the signal to be processed first is multiplied by itself, for example, along path 13, by multiplier 4.
  • the multiplied signal is then filtered by filter 5, which constitutes a high-pass filter and eliminates the dc. or base band products from each multiplication.
  • This multiplication and filtering is repeated (N) times along each linear path.
  • the signal is applied directly to multiplier 9.
  • delay means 8 which produces a delayed signal and applied it to multiplier 9.
  • This delay means represents the introduced time delay or time lag of the auto-correlator.
  • the signal from the multiplier;9 is then integrated by the integrator over a period of T
  • the resulting signal passes to the summer 1 1. This process is repeated in the ensemble averager over. (M) parallel paths.
  • the symbol designated 16 in FIG 1 representsthe inputs from the (M-3) parallel paths into the summer 11.
  • the resulting signal appearing at the output terminal 12 of the summer 11 will exhibit a markedly increased signal-to-noise ratio over the input signal from the sensor 2.
  • FIGS 2 through 4 The signal derived from sensor 2 of FIG 1 is graphically represented in FIG 2.
  • the continuous signal to be detected of frequency f and power level A is represented by arrow 17 in FIG 2.
  • the accompanying noise background is also shown in figure 2 and has a bandwidth of W, coincident with the signal bandwidth, extending from ()2, W/2to (II, W/2) and a power level designated by P.
  • FIG 3 illustrates the addition of random noise from the random noise generator 3 to the signal from the sensor 2.
  • FIG 3 clearly shows the increased bandwidth of the signal to be processed by the circuit of FIG 1.
  • nW the bandwidth of the added noise in FIG 3
  • W the original noise band width.
  • n may be, but is not required to be, a positive integer.
  • FIG 4 represents the signal as it appears, for example, along linear path 13, after undergoing the Nth multiplication and before the final filtering by filter 7.
  • the form of the processed signal of figure 4 departs radically from the form of the signal illustrated in FIG 2 or FIG 3 since the (N) multiplications disperse the signal frequency f from the center of the noise band f o by the factor 2 (If, fl It is further evident from FIG 4 that the signal-to-noise ratio of the signal to be detected is greatly enhanced merely by the (N) multiplications. It is apparent that the level of noise within the signal band of the signal in FIG 4 is much lower than the level of noise in the signal band of the signal in FIG 2.
  • the signal-to-noise ratio that results from the simultaneous auto-correlation of the noise and signal functions appearing within the signal bandwidth as shown in FIG 4, resulting from the (N) linear multiplications, will be much improved over the ratio that would result from the auto-correlation of the signal shown in FIG 1 as occurs in prior art auto-correlators.
  • the time delay or time lag 8 required by the auto-correlator of FIG 1 is inversely proportional to 2w'.
  • the. required time delay or time lag may be made vanishingly small by choosing a large number of linear multipliers along each of the (M) paths or by significantly increasing the noise bandwidth of the received signal by the addition of random noise.
  • the invention provides a method and a means for detecting the presence of a signal in a noise background at a markedly increased signal-to-noise ratio over conventional auto-correlators without sacrificing either information capacity or processing time.
  • An autocorrelation signal processor comprising:
  • a random noise generator having its output connected to said electrical output signal, said electrical signal and said random noise together comprising the signal to be processed;
  • N is .an integer equal to or greater than 1 and M is an integer greater than 1;
  • a device as recited in claim I in which the receiving means comprises an antenna.
  • a device as recited inclaim 1 wherein the autocorrelating means comprises:
  • M means for delaying said signal to be processed after N multiplications and filterings:
  • M means for multiplying said signal to be processed after N multiplications and filterings by said delayed signal
  • M means for integrating the products of said M multiplications
  • a device as defined in claim 5 in which the time delay associated with each of the M parallel paths is distinct from the time delays associated with the remaining M-l parallel paths and in which the time period for integration associated with each of the M parallel paths is distinct from the time periods for integration associated with the remaining M-l parallel paths.
  • a device for reducing the time period for integration in an autocorrelation processor comprising:
  • a received signal thereby reducing the delay time in- 5 herent in the auto-correlation process comprising:
  • a random noise generator connected to the receiving means, the received signal and the random noise comprising the signal to be processed
  • the received signal has a determinable bandwidth
  • the random noise has a determinable bandwidth
  • the bandwidth of the random noise occupies a frequency spectrum which is lower than and adjacent to the frequency spectrum of the signal bandwidth.

Abstract

A signal processor utilizing the auto-correlation technique for detecting a signal in the presence of noise. The device reduces both the required time delay and integrating time in conventional auto-correlation processes by the use of a (N) by (M) matrix analog correlator. The device accepts noise and signal which are assumed to be statistically independent and by linearly multiplying both (N) reiterated times and filtering out the d.c. or base band products from each multiplication, forms the final function for correlation. This process of linear multiplication is repeated over (M) parallel paths. The (N) reiterated linear multiplications reduce the required time delay to a small fraction. The (M) parallel paths reduce the required integrating time also to a very small fraction.

Description

United States Patent Gray [ Oct. 24, 1972 4] REDUCED TIME DELAY AUTO- CORRELATION SIGNAL PROCESSOR OTHER PUBLICATIONS Truxal (Handbook) Automatic Feedback Control [72] Inventor: Lawrence S. Gray, Virginia Beach, System Synth. McGraw-Hill 1955. pages 437- 439.
' Va. Lee et al.: Appl. of Correlation Analysis to the Detec- [73] Assignee' The United sums of m as tion of Signals in Noise Proc. IRE. 1950 p. 1,165-
represented by the secretary of the Kailath: Correlation Detection of Signals Perturbed Navy IRE Transaction Info Th. 1960 (June) p. 361- 366 [22] Filed; v Dec, 9, 1970 La Torre: Signal To Noise Enhancement Tnsfr. and 1 pp No 97 450 3 Controls Nov. 1969 p. 129- 132 Primary Examiner-Felix D. Gruber 52 us. Cl. ..235/181, 325/474, 328/165, Sciascia and Philip Schneider 333/70 T 511 lm. Cl. ..G06g 7/19 [57] ABSTRACT Field Of Search ..235/ 181, 3; 343/ CL; A signal processor utilizing the auto-correlation 328/166, 167, 165; 325/474 technique for detecting a signal in the presence of noise. The device reduces both the required time {56] References Cited delay and integrating time in conventional auto-correlation processes by the use of a (N) by (M) matrix UNITED STATES PATENTS analog correlator. The device accepts noise and signal 3,337 870 8/1967 Allen et a1. ..343/100 CL which are asslmed be Statistically independent and 3 l97'625 7/1965 235/181 by linearly multiplying both (N) reiterated times and 3l77347 4/1965 filtering out the d.c. or base band products from each 314591929 8/1969 Lerwill Rail:IIIIIII235/1s1 t f 3 354 297 11/1967 Anderson et a] 235,181 This process of linear multiplication is repeated over 3S26756 9/1970 whit I "235/181 (M) parallel paths. The (N) reiterated linear multipli- 3307408 3,1967 Th e cations reduce the required time delay to a small frac- 3254339 1966 S 8 181 X tion. The (M) parallel paths reduce the required in- 3045916 34 im 22M tegrating time also to a very small fraction. 3:359,409 12/ 1967 Dryden ..235/ 181 10 Claims, 4 Drawing Figures 13 8 /8 9 4 5 a r 1 /0 u u m M r.
SENSOR V l RANDOM/ J 12 la --MN2 uz M NOISE l GENERATOR I ,6, 2
1 2 I OUT I I5\ 8M -l I m FIM NM FNM M I PATENTED OCT 24 I972 ATTORNEY REDUCED TIME DELAY AUTO-CORRELATION SIGNAL PROCESSOR STATEMENT OF GOVERNMENT INTEREST BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates generally to devices for detecting a signal in the presence of noise. More particularly to devices known as auto-correlators. Signal processing devices employing the auto-correlation technique having received wide application in the art in detecting a signal in a noise background. The theory behind the auto-correlation technique is well known and will not be discussed herein in detail. The success of detectors employing the auto-correlation technique is due to the fact that the auto-correlation function of random (non-periodic) noise is zero. Further, it can be shown that the auto-correlation function of periodic (time-limited) noise is also zero. On the other hand, it may easily be shown that the auto-correlation function of a signal in the form of a sinusoid is another sinusoid. Further, it is likewise true that a signal in the form of a space-modulated or duration-modulated pulse train will be a function having an appreciable magnitude for relatively small values of delay time. The auto-correlator provides means for obtaining the auto-correlation functions of noise and of the signal simultaneously. The comparison of these functions results in a markedly increased signal-to-noise ratio.
2. Description of the Prior Art While auto-correlation detectors have been quite successful in improving signal-to-noise ratios, a significant drawback in the use of prior art auto-correlators has been the time delay involved in the auto-correlation process. This time delay results from two factors, the introduced time delay or time lag and the integrating time. The introduced time delay results from the fact that in the auto-correlation process the signal or noise function is multiplied by itself after being delayed in time. This is what is known as the introduced time delay or time lag that isinherent in the auto-correlation process. The other factor involved in the overall time delay of an auto-correlator is the integrating time, i.e., the period of time over which the integration is taken. In theory, this time approaches infinity. However, in practice an integrating time which is very large compared to the introduced time delay or time lag is chosen.
SUMMARY OF THE INVENTION The invention consists of what may be described as an (N) by (M) matrix analog auto-correlator which is effective to reduce the required time delay or time lag of a conventional auto-correlator to a small fraction (of order [2]") and the required integrating time to a small fraction (of order M"). The invention accepts an input, consisting of a signal containing information and noise which are assumed to be statistically independent, and by linearly multiplying both (N) reiterated times and filtering the product for each multiplication by high pass filters forms the final function for autocorrelation. This process is repeated over (M) parallel paths, thereby reducing the integrating time required in the auto-correlation process. The device further reduces the introduced time delay or time lag of an auto-correlator by the addition of random noise to the signal to be processed. This results in an increased in the bandwidth of the signal to be processed; increasing the bandwidth of the signal will result in a decrease of the time delay or time lag of an auto-correlator.
OBJECTS OF THE INVENTION An object of the present invention is to provide means for increasing the signal-to-noise ratio of very low signals in a random (non-periodic) or periodic (time-limited) noise background.
Another object is to provide a new and improved auto-correlation detector circuit.
A further object of the invention is to reduce the time required in conventional auto-correlation processes.
Other objects, advantages, and novel features of the present invention will become apparent from the following detailed description of the invention when considered in conjunction with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT FIG 1 illustrates a preferred embodiment of the autocorrelation circuit of the instant invention. In FIG 1, a signal to be processed is introduced in the detector circuit by means of a sensor 2. The sensor may take the form of a number of devices, for example, an antenna or, as would be the case in Sonar applications, a transducer. Random noise from a random noise generator 3 is added to this received signal, thereby increasing the bandwidth of the signal to be processed by the autocorrelation detection system circuit 1. In being processed, this signal undergoes (N) linear multiplications over each of (M) parallel paths. The (N) by (M) matrix of the instant invention may be referred to as an averager.
The signal to be processed first is multiplied by itself, for example, along path 13, by multiplier 4. The multiplied signal is then filtered by filter 5, which constitutes a high-pass filter and eliminates the dc. or base band products from each multiplication. This multiplication and filtering is repeated (N) times along each linear path. After the Nth multiplication and filtering, the signal is applied directly to multiplier 9. It is also applied to delay means 8 which produces a delayed signal and applied it to multiplier 9. This delay means represents the introduced time delay or time lag of the auto-correlator. The signal from the multiplier;9 is then integrated by the integrator over a period of T The resulting signal passes to the summer 1 1. This process is repeated in the ensemble averager over. (M) parallel paths. The symbol designated 16 in FIG 1 representsthe inputs from the (M-3) parallel paths into the summer 11. The resulting signal appearing at the output terminal 12 of the summer 11 will exhibit a markedly increased signal-to-noise ratio over the input signal from the sensor 2.
The main features of the invention will be explained with reference to FIGS 2 through 4. The signal derived from sensor 2 of FIG 1 is graphically represented in FIG 2. The continuous signal to be detected of frequency f and power level A is represented by arrow 17 in FIG 2. The accompanying noise background is also shown in figure 2 and has a bandwidth of W, coincident with the signal bandwidth, extending from ()2, W/2to (II, W/2) and a power level designated by P. FIG 3 illustrates the addition of random noise from the random noise generator 3 to the signal from the sensor 2. FIG 3 clearly shows the increased bandwidth of the signal to be processed by the circuit of FIG 1. Note in FIG 3 the transposition of the center frequency of the noise background from f o to f o This transposition results in an increased spreading effect that will be further explained with reference to FIG 4. It should be noted that the bandwidth of the added noise in FIG 3 is designated nW where W is the original noise band width. For purposes of the :instant invention, n may be, but is not required to be, a positive integer. FIG 4 represents the signal as it appears, for example, along linear path 13, after undergoing the Nth multiplication and before the final filtering by filter 7. As can be seen, the form of the processed signal of figure 4 departs radically from the form of the signal illustrated in FIG 2 or FIG 3 since the (N) multiplications disperse the signal frequency f from the center of the noise band f o by the factor 2 (If, fl It is further evident from FIG 4 that the signal-to-noise ratio of the signal to be detected is greatly enhanced merely by the (N) multiplications. It is apparent that the level of noise within the signal band of the signal in FIG 4 is much lower than the level of noise in the signal band of the signal in FIG 2. Thus, the signal-to-noise ratio that results from the simultaneous auto-correlation of the noise and signal functions appearing within the signal bandwidth as shown in FIG 4, resulting from the (N) linear multiplications, will be much improved over the ratio that would result from the auto-correlation of the signal shown in FIG 1 as occurs in prior art auto-correlators. The time delay or time lag 8 required by the auto-correlator of FIG 1 is inversely proportional to 2w'. Thus, the. required time delay or time lag may be made vanishingly small by choosing a large number of linear multipliers along each of the (M) paths or by significantly increasing the noise bandwidth of the received signal by the addition of random noise. This reduction in time delay or time lag is critically important because, for example, it permits an information channel to be utilized at an increased efiiciency. That is, by reducing the required tional to (M). Thus, by choosing (M) large enough the integrating time may be also made vanishingly small. In order, however, to truncate the integrating time by the factor M and achieve statistically acceptable results, the integrating time and delay time along each of the (M) paths of FIG 1, for example path 13, should be chosen to be distinct from the integrating times and delay times along each of the other (M) paths, for example paths 14 and 15. Thus, the invention provides a method and a means for detecting the presence of a signal in a noise background at a markedly increased signal-to-noise ratio over conventional auto-correlators without sacrificing either information capacity or processing time.
It is obvious that each of the above features of the invention may be employed either singly or in combination to provide an improved auto-correlation process. For example, by merely increasing the bandwidth of the noise as shown in FIG 3, the time delay or time lag of conventional auto-correlators can be reduced. Further, by providing (M) parallel paths the required integrating time of conventional auto-correlators can be reduced by a factor of M. Finally, the mere addition of (N) linear multipliers to the circuit of a conventional auto-correlator can reduce the required time delay or time lag by a factor of (2" Obviously, many modifications and variations of the present invention are possible in light of the above teachings. For example, it is obvious from FIG 4 that a signal processor comprising merely a sensor 2, random noise generator 3, (N) multipliers and associated filters would be quite effective in increasing a signal-to-noise ratio. It is therefore to be understood that, within the scope of the appended claims, the invention may be practiced otherwise and as specifically described.
What is claimed is:
1. An autocorrelation signal processor comprising:
means for receiving a signal containing information and noise and for producing an electrical output signal representative of the received signal;
a random noise generator having its output connected to said electrical output signal, said electrical signal and said random noise together comprising the signal to be processed;
means for multiplying the signal to be processed by itself N successive time along M parallel paths, where N is .an integer equal to or greater than 1 and M is an integer greater than 1;
means for filtering individually each product of a multiplication; and
means for autocorrelating said signal to be processed after the N multiplications and filterings.
2. A device as recited in claim 1 in which the receiving means comprises a transducer.
3. A device as recited in claim I in which the receiving means comprises an antenna.
4. A deviceas recited in claim 1 in which the filtering means comprises N high-pass filters.
5. A device as recited inclaim 1 wherein the autocorrelating means comprises:
a. M means for delaying said signal to be processed after N multiplications and filterings:
b. M means for multiplying said signal to be processed after N multiplications and filterings by said delayed signal;
c. M means for integrating the products of said M multiplications;
wherein one of each said means recitedin (a), (b) and (c) is connected in each of the M parallel paths; and,
means for summing the outputs of the integrating means,
6. A device as defined in claim 5 in which the time delay associated with each of the M parallel paths is distinct from the time delays associated with the remaining M-l parallel paths and in which the time period for integration associated with each of the M parallel paths is distinct from the time periods for integration associated with the remaining M-l parallel paths.
7. A device for reducing the time period for integration in an autocorrelation processor comprising:
a received signal thereby reducing the delay time in- 5 herent in the auto-correlation process comprising:
means for receiving the received signal;
a random noise generator connected to the receiving means, the received signal and the random noise comprising the signal to be processed;
means for multiplying the signal to be processed by itself N successive times, where N is an integer equal to or greater than 1; and,
means for filtering individually each product of a multiplication.
9. The device as recited in claim 8 wherein:
the received signal has a determinable bandwidth;
the random noise has a determinable bandwidth;
and,
the bandwidth of the random noise occupies a frequency spectrum which is lower than and adjacent to the frequency spectrum of the signal bandwidth.
10. The device as recited in claim 9 wherein the filtering means comprise high pass filters.

Claims (10)

1. An autocorrelation signal processor comprising: means for receiving a signal containing information and noise and for producing an electrical output signal representative of the received signal; a random noise generator having its output connected to said electrical output signal, said electrical signal and said random noise together comprising the signal to be processed; means for multiplying the signal to be processed by itself N successive time along M parallel paths, where N is an integer equal to or greater than 1 and M is an integer greater than 1; means for filtering individually each product of a multiplication; and means for autocorrelating said signal to be processed after the N multiplications and filterings.
2. A device as recited in claim 1 in which the receiving means comprises a transducer.
3. A device as recited in claim 1 in which the receiving means comprises an antenna.
4. A device as recited in claim 1 in which the filtering means comprises N high-pass filters.
5. A device as recited in claim 1 wherein the autocorrelating means comprises: a. M means for delaying said signal to be processed after N multiplications and filterings: b. M means for multiplying said signal to be processed after N multiplications and filterings by said delayed signal; c. M means for integrating the products of said M multiplications; wherein one of each said means recited in (a), (b) and (c) is connected in each of the M parallel paths; and, means for summing the outputs of the integrating means,
6. A device as defined in claim 5 in which the time delay associated with each of the M parallel paths is distinct from the time delays associated with the remaining M-1 parallel paths and in which the time period for integration associated with each of the M parallel paths is distinct from the time periods for integration associated with the remaining M-1 parallel paths.
7. A device for reducing the time Period for integration in an autocorrelation processor comprising: means for receiving a signal to be processed; M parallel paths, where M is an integer greater than 1, each path being connected to the receiving means so that the signal to be processed is applied simultaneously to each path; wherein each of the M parallel paths includes: means for delaying said signal to be processed; means for multiplying said signal to be processed by the delayed signal; and, means for integrating the product of the multiplication; and, means for summing the outputs of the integrating means.
8. A device for increasing the signal-to-noise ratio of a received signal thereby reducing the delay time inherent in the auto-correlation process comprising: means for receiving the received signal; a random noise generator connected to the receiving means, the received signal and the random noise comprising the signal to be processed; means for multiplying the signal to be processed by itself N successive times, where N is an integer equal to or greater than 1; and, means for filtering individually each product of a multiplication.
9. The device as recited in claim 8 wherein: the received signal has a determinable bandwidth; the random noise has a determinable bandwidth; and, the bandwidth of the random noise occupies a frequency spectrum which is lower than and adjacent to the frequency spectrum of the signal bandwidth.
10. The device as recited in claim 9 wherein the filtering means comprise high pass filters.
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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3997844A (en) * 1975-04-09 1976-12-14 Bell Telephone Laboratories, Incorporated Signal selection in diversity transmission systems
US3997774A (en) * 1974-10-25 1976-12-14 Contraves Ag Method of increasing the signal-to-noise ratio of a time-dependent scanning signal during performance of a periodic scanning method
US4158234A (en) * 1975-12-12 1979-06-12 Hoffmann-La Roche Inc. Autocorrelation function parameter determination
EP0010791A1 (en) * 1978-10-19 1980-05-14 Agfa-Gevaert N.V. Method and device for inspecting a moving sheet material for streaklike defects
US4416017A (en) * 1981-01-05 1983-11-15 Motorola, Inc. Apparatus and method for attenuating interfering signals
US4445223A (en) * 1981-01-05 1984-04-24 Motorola, Inc. Apparatus and method for determining the presence and frequency of a periodic signal
US4695972A (en) * 1982-06-23 1987-09-22 British Telecommunications Public Limited Company Correlator having spurious signal cancellation circuitry
US4800518A (en) * 1985-06-21 1989-01-24 Racal Data Communications, Inc. Differential correlator circuit
WO2001052406A1 (en) * 2000-01-13 2001-07-19 Infineon Technologies Ag Low-noise amplifier circuit and a method for amplifying low-power signals in a low-noise manner
US20020086641A1 (en) * 2000-11-16 2002-07-04 Howard Daniel H. Method and apparatus for detection and classification of impairments on an RF modulated network
US20040158440A1 (en) * 1999-08-27 2004-08-12 William K. Warburton Method and apparatus for improving resolution in spectrometers processing output steps from non-ideal signal sources
US20040203392A1 (en) * 2002-05-03 2004-10-14 Broadcom Corporation Dynamic adaptation of impaired RF communication channels in a communication system
US20080024336A1 (en) * 2006-07-28 2008-01-31 Jongmin Park Systems, Methods, and Apparatuses for a Long Delay Generation Technique for Spectrum-Sensing of Cognitive Radios

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3045916A (en) * 1955-05-20 1962-07-24 Hoffman Electronics Corp Autocorrelation detector circuit
US3177347A (en) * 1959-02-25 1965-04-06 Shell Oil Co Method and apparatus for determining the dynamic response of a system
US3197625A (en) * 1958-10-01 1965-07-27 Electro Mechanical Res Inc Cross correlator
US3254339A (en) * 1964-04-01 1966-05-31 Hazeltine Research Inc Apparatus for improving the signal-tonoise ratio of varying, periodicallyrecurring signals
US3307408A (en) * 1966-08-10 1967-03-07 Int Research & Dev Co Ltd Synchronous filter apparatus in which pass-band automatically tracks signal, useful for vibration analysis
US3337870A (en) * 1964-10-19 1967-08-22 Willard B Allen Linear polarity coincidence correlator for gaussian signals
US3354297A (en) * 1964-02-06 1967-11-21 Ford Motor Co Apparatus for measuring dynamic characteristics of systems by crosscorrelation
US3359409A (en) * 1963-04-09 1967-12-19 Hugh L Dryden Correlation function apparatus
US3459929A (en) * 1964-04-24 1969-08-05 Seismograph Service Corp Methods of and apparatus for the correlation of variables
US3526756A (en) * 1969-01-31 1970-09-01 North American Rockwell Parametric correlation apparatus

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3045916A (en) * 1955-05-20 1962-07-24 Hoffman Electronics Corp Autocorrelation detector circuit
US3197625A (en) * 1958-10-01 1965-07-27 Electro Mechanical Res Inc Cross correlator
US3177347A (en) * 1959-02-25 1965-04-06 Shell Oil Co Method and apparatus for determining the dynamic response of a system
US3359409A (en) * 1963-04-09 1967-12-19 Hugh L Dryden Correlation function apparatus
US3354297A (en) * 1964-02-06 1967-11-21 Ford Motor Co Apparatus for measuring dynamic characteristics of systems by crosscorrelation
US3254339A (en) * 1964-04-01 1966-05-31 Hazeltine Research Inc Apparatus for improving the signal-tonoise ratio of varying, periodicallyrecurring signals
US3459929A (en) * 1964-04-24 1969-08-05 Seismograph Service Corp Methods of and apparatus for the correlation of variables
US3337870A (en) * 1964-10-19 1967-08-22 Willard B Allen Linear polarity coincidence correlator for gaussian signals
US3307408A (en) * 1966-08-10 1967-03-07 Int Research & Dev Co Ltd Synchronous filter apparatus in which pass-band automatically tracks signal, useful for vibration analysis
US3526756A (en) * 1969-01-31 1970-09-01 North American Rockwell Parametric correlation apparatus

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Kailath: Correlation Detection of Signals Perturbed IRE Transaction Info Th. 1960 (June) p. 361 366 *
La Torre: Signal To Noise Enhancement Tnsfr. and Controls Nov. 1969 p. 129 132 *
Lee et al.: Appl. of Correlation Analysis to the Detection of Signals in Noise Proc. IRE. 1950 p. 1,165 1,171 *
Truxal (Handbook) Automatic Feedback Control System Synth. McGraw Hill 1955. pages 437 439. *

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3997774A (en) * 1974-10-25 1976-12-14 Contraves Ag Method of increasing the signal-to-noise ratio of a time-dependent scanning signal during performance of a periodic scanning method
US3997844A (en) * 1975-04-09 1976-12-14 Bell Telephone Laboratories, Incorporated Signal selection in diversity transmission systems
US4158234A (en) * 1975-12-12 1979-06-12 Hoffmann-La Roche Inc. Autocorrelation function parameter determination
EP0010791A1 (en) * 1978-10-19 1980-05-14 Agfa-Gevaert N.V. Method and device for inspecting a moving sheet material for streaklike defects
US4416017A (en) * 1981-01-05 1983-11-15 Motorola, Inc. Apparatus and method for attenuating interfering signals
US4445223A (en) * 1981-01-05 1984-04-24 Motorola, Inc. Apparatus and method for determining the presence and frequency of a periodic signal
US4695972A (en) * 1982-06-23 1987-09-22 British Telecommunications Public Limited Company Correlator having spurious signal cancellation circuitry
US4800518A (en) * 1985-06-21 1989-01-24 Racal Data Communications, Inc. Differential correlator circuit
US7065473B2 (en) * 1999-08-27 2006-06-20 William K. Warburton Method and apparatus for improving resolution in spectrometers processing output steps from non-ideal signal sources
US20040158440A1 (en) * 1999-08-27 2004-08-12 William K. Warburton Method and apparatus for improving resolution in spectrometers processing output steps from non-ideal signal sources
US20030076162A1 (en) * 2000-01-13 2003-04-24 Ralf Brederlow Low-noise amplifier circuit and a method for amplifying low-power signals in a low-noise manner
US7031691B2 (en) 2000-01-13 2006-04-18 Infineon Technologies Ag Low-noise amplifier circuit and a method for amplifying low-power signals in a low-noise manner
WO2001052406A1 (en) * 2000-01-13 2001-07-19 Infineon Technologies Ag Low-noise amplifier circuit and a method for amplifying low-power signals in a low-noise manner
US20020086641A1 (en) * 2000-11-16 2002-07-04 Howard Daniel H. Method and apparatus for detection and classification of impairments on an RF modulated network
US7024680B2 (en) * 2000-11-16 2006-04-04 Broadcom Corporation Method and apparatus for detection and classification of impairments on a RF modulated network
US7334253B2 (en) 2000-11-16 2008-02-19 Broadcom Corporation Method and apparatus for detection and classification of impairments on an RF modulated network
US20040203392A1 (en) * 2002-05-03 2004-10-14 Broadcom Corporation Dynamic adaptation of impaired RF communication channels in a communication system
US7418240B2 (en) 2002-05-03 2008-08-26 Broadcom Corporation Dynamic adaptation of impaired RF communication channels in a communication system
US20080024336A1 (en) * 2006-07-28 2008-01-31 Jongmin Park Systems, Methods, and Apparatuses for a Long Delay Generation Technique for Spectrum-Sensing of Cognitive Radios
US7528751B2 (en) * 2006-07-28 2009-05-05 Samsung Electro-Mechanics Systems, methods, and apparatuses for a long delay generation technique for spectrum-sensing of cognitive radios

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