CN105548969B - A kind of CFAR object detection method and system - Google Patents
A kind of CFAR object detection method and system Download PDFInfo
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- CN105548969B CN105548969B CN201510940703.7A CN201510940703A CN105548969B CN 105548969 B CN105548969 B CN 105548969B CN 201510940703 A CN201510940703 A CN 201510940703A CN 105548969 B CN105548969 B CN 105548969B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
- G01S7/285—Receivers
- G01S7/292—Extracting wanted echo-signals
- G01S7/2923—Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods
- G01S7/2927—Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods by deriving and controlling a threshold value
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/35—Details of non-pulse systems
- G01S7/352—Receivers
- G01S7/354—Extracting wanted echo-signals
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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Abstract
The present invention provides a kind of CFAR object detection method and system, and its method includes：Obtain centered on detection array, on frequency, direction and false alarm rate, the set of spatial spectrum detection threshold and corresponding spatial spectrum template set that meet constant false alarm rate；Obtain look-in frequency, space exploration spectrum and the detection orientation result of current detection target；Obtain the detection spatial spectrum corresponding with look-in frequency and detection orientation result；Calculate detection spatial spectrum and compose corresponding space exploration spectrum thresholding with space exploration；Obtain the detection spatial spectrum detection threshold corresponding with look-in frequency and detection orientation result；Judge whether space exploration spectrum thresholding is more than detection spatial spectrum thresholding, if it is not, then judging that current detection target is present, if so, then judging that current detection target is not present.The present invention carries out further analysis to spatial spectrum in directional link and detected, the target detection capabilities in the case of utilization space directed information lifting low signal-to-noise ratio and Arctic ice area.
Description
Technical field
The present invention relates to Low-altitude Target Detection Technology field, more particularly to a kind of CFAR object detection method and system.
Background technology
In target acquisition orientation process, target detection and orientation order constitute the basic procedure that target acquisition is oriented.
When target detection is used, frequency-domain analysis or comprehensive analysis, detection includes waveform, energy, frequency spectrum and constitutes and change spy
The Important Parameters such as levy, determine target whether there is.Goal orientation generally uses sensor array phased scanning dimensional orientation, according to wave beam
Primary maximum is oriented；Or signal space analysis, solving target direction are carried out using modern signal processing method.
Under conditions of usual detection system is designed as first detecting to be oriented afterwards, but signal to noise ratio is relatively low or extremely low, only in accordance with target
Detection has been difficult to suppress the higher situation of detection false-alarm, particularly noise level, and the spatial spectrum form now oriented is very multiple
Miscellaneous, pseudo- peak increases, and is unfavorable for determining target bearing, causes detection false-alarm rise.
The content of the invention
It is an object of the invention to provide a kind of CFAR object detection method and system, to solve the above problems.
The CFAR object detection method, including：
Obtain centered on detection array, on frequency, direction and false alarm rate, the detection of the spatial spectrum that meets constant false alarm rate
Threshold set and corresponding spatial spectrum template set；
Obtain look-in frequency, space exploration spectrum and the detection orientation result of current detection target；
Retrieved according to the look-in frequency and detection orientation result in the spatial spectrum template set, obtain and visited with described
The measured frequency detection spatial spectrum corresponding with detection orientation result；
Calculate the detection spatial spectrum and compose corresponding space exploration spectrum thresholding with the space exploration；
Retrieved, obtained and institute in the spatial spectrum detection threshold set according to the look-in frequency and detection orientation result
State the look-in frequency detection spatial spectrum detection threshold corresponding with detection orientation result；
Judge whether the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding,
If the space exploration spectrum thresholding is not more than the detection spatial spectrum thresholding, judge that current detection target is present,
If the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding, judge that current detection target is not present.
The invention also discloses a kind of CFAR object detection system, including：
Template storage unit, the template storage unit be used for store centered on detection array, on frequency, direction and
False alarm rate, the set of spatial spectrum detection threshold and corresponding spatial spectrum template set that meet constant false alarm rate；
Detection array, the detection array is used to obtain the look-in frequency of current detection target, space exploration spectrum and detected
Orient result；
First retrieval unit, first retrieval unit is connected with the template storage unit and detection array respectively, uses
Retrieve, obtain and the look-in frequency in the spatial spectrum template set according to the look-in frequency and detection orientation result
The detection spatial spectrum corresponding with detection orientation result；
Space exploration composes thresholding acquiring unit, the space exploration spectrum thresholding acquiring unit and the first retrieval unit phase
Even, composed for receiving the detection spatial spectrum with the space exploration, and calculate the detection spatial spectrum and the space exploration
The corresponding space exploration spectrum thresholding of spectrum；
Second retrieval unit, second retrieval unit is connected with the template storage unit and detection array respectively, uses
Retrieve, obtain and the detection in the spatial spectrum detection threshold set according to the look-in frequency and detection orientation result
The frequency detection spatial spectrum detection threshold corresponding with detection orientation result；
Target discrimination unit, the target discrimination unit composes thresholding acquiring unit and the second inspection with the space exploration respectively
Cable elements are connected, for judging whether the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding, if the detection is empty
Between spectrum thresholding be not more than the detection spatial spectrum thresholding, then judge that current detection target is present, if the space exploration composes thresholding
More than the detection spatial spectrum thresholding, then judge that current detection target is not present.
It can be seen that, the present invention proposes a kind of CFAR object detection method and is obtaining look-in frequency, the detection of detection target
After spatial spectrum and detection orientation result, further according to the set of spatial spectrum detection threshold and corresponding spatial spectrum template set being obtained ahead of time
Close and carry out that spatial spectrum is carried out further to analyze to detect, to judge that detection target whether there is.I.e. to space in directional link
Spectrum carries out the target detection in the case of further analysis detection, utilization space directed information lifting low signal-to-noise ratio and Arctic ice area
Ability.This method can reduce detection false-alarm, and have important meaning for the remote detection capacity of orientation for lifting detection system
Justice.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to present invention implementation
The accompanying drawing used required in example or description of the prior art is briefly described, it should be apparent that, drawings in the following description are only
Only it is some embodiments of the present invention, for those skilled in the art, on the premise of not paying creative work, may be used also
To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is a kind of CFAR object detection method flow chart provided in an embodiment of the present invention；
Fig. 2 is a kind of acquisition spatial spectrum detection threshold set provided in an embodiment of the present invention and corresponding spatial spectrum template set
The flow chart of conjunction；
Fig. 3 is a kind of CFAR object detection system schematic diagram provided in an embodiment of the present invention.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the logical technical staff of this area spectrum
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Inventor it has been investigated that, the existing object detection process flow based on first target detection reorientation, its orient
Link is no longer detected, has lacked the significant design that target detection is carried out by space spectrum information.So, if it is possible to it is directed to
Space spectrum signature carries out analysis detection, then can further improve target detection level, suppresses false-alarm.
Based on above-mentioned discovery, the invention discloses a kind of CFAR object detection method and system.
Embodiment one
Present embodiment discloses a kind of CFAR object detection method, as shown in figure 1, including：
Obtain centered on detection array, on frequency, direction and false alarm rate, the detection of the spatial spectrum that meets constant false alarm rate
Threshold set and corresponding spatial spectrum template set；
Obtain look-in frequency, space exploration spectrum and the detection orientation result of current detection target；
Retrieved according to the look-in frequency and detection orientation result in the spatial spectrum template set, obtain and visited with described
The measured frequency detection spatial spectrum corresponding with detection orientation result；
Calculate the detection spatial spectrum and compose corresponding space exploration spectrum thresholding with the space exploration；
Retrieved, obtained and institute in the spatial spectrum detection threshold set according to the look-in frequency and detection orientation result
State the look-in frequency detection spatial spectrum detection threshold corresponding with detection orientation result；
Judge whether the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding,
If the space exploration spectrum thresholding is not more than the detection spatial spectrum thresholding, judge that current detection target is present,
If the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding, judge that current detection target is not present.
Wherein, as shown in Fig. 2 described obtain spatial spectrum inspection on frequency, direction and false alarm rate, meeting constant false alarm rate
The process of threshold set and corresponding spatial spectrum template set is surveyed, including：
Step 11, acquisition history detection clarification of objective frequency rangeWherein, fLIt is characterized frequency
Lower limit, fHIt is characterized upper frequency limit.The history detection target is the detection target before current detection target, and it is detected
As a result the purpose counted is to provide reference frame for the detection of current detection target.The history detection clarification of objective frequency
Rate scope is the range of target frequencies that detection array can be detected.
Step 12, according to a certain frequency f in the characteristic frequency region, obtain sinusoidal signal s (f).In this step, institute
Stating sinusoidal signal s (f) is：
Wherein, n is sample rate.
Step 13, the array manifold according to detection array and the sinusoidal signal s (f) obtain θ ∈ Θ in a direction
Array signal S (f, θ), wherein, Θ is the set of all deflections centered on the detection array, i.e.,The array signal S (f, θ) is：
Wherein, r is the array element radius of array, and c is the velocity of sound, and K is battle array
The element number of array of row.
In the present embodiment, in the case of a burst of row of 12 yuan of horizontal circles, it is 0, i.e. going through on 0 degree of direction of detection array to take θ
History detects target, K=12.
It should be noted that this method be applied to any other form array, for example linear array, cross battle array and it is other various
Array etc..And suitable for the sensor measuring means of any other form, such as air acoustic detection, Underwater Detection and radar detection
Deng.
Step 14, each passage superimposed noise signal to the array signal S (f, θ), obtain band and make an uproar array signal Xi
(f, θ)=S (f, θ)+Ni, i=1,2,3...M, wherein, NiMulti-channel noise during noise is added for ith, M is secondary to calculate
Number.In the present embodiment, calculation times M is taken for 250-350, and in the present embodiment, the calculation times are 300.In the step 14,
The signal to noise ratio for each channel noise signal being superimposed to the array signal S (f, θ) is identical, is now to consider low signal-to-noise ratio
Under influence of the white noise to array signal S (f, θ).And each channel noise signal is uncorrelated.
Step 15, make an uproar array signal X according to the bandi(f, θ) is oriented processing to history detection target, obtains
Normalize spatial spectrum Pi(f, θ) and orientation result θi.In the present embodiment, it can be classified using beam-forming schemes or multiple subspace
Method is oriented processing to history detection target.Wherein, the multiple subspace classification basic thought is by any base
The covariance matrix of battle array output data carries out Eigenvalues Decomposition, thus obtain the signal subspace corresponding with component of signal and with
The mutually orthogonal noise subspace of component of signal, then estimates the orientation of signal using the orthogonality of the two subspaces.
In addition, the present embodiment can also be oriented processing using other orientation methods to history detection target,
This is not particularly limited.
Step 16, according to the orientation result θiFalse alarm rate D is calculated with default orientation accuracy threshold alphaFWith average spatial spectrum
P (f, θ).
The step 16 is specifically included：
Calculate orientation error Δ θ：
Δ θ=| θi-θ|；
Count Δ θ≤α number of times m；
Calculate false alarm rate DF：
DF=(M-m)/M；
Calculate mean space spectrum P (f, θ)：
Step 17, judge the false alarm rate whether be not more than default false alarm rate threshold value,
If the false alarm rate is more than default false alarm rate threshold value, signal to noise ratio is adjusted, and go to step 14,
If the false alarm rate is not more than default false alarm rate threshold value, step 18 is gone to.
Step 18, according to the normalization spatial spectrum for meeting default false alarm rate requirement, orientation result and false alarm rate obtain
Spatial spectrum detection threshold ρ (f, θ, the D of constant false alarm rate must be metF)。
Step 18 is specifically included：
Calculate orientation error；
Extract normalization spatial spectrum, orientation result and false alarm rate that orientation error is not more than default orientation accuracy threshold value；
Calculate the Euclidean distance between the normalization spatial spectrum and mean space spectrum：
ρi(P(f,θ,DF),Pi(f,θ,DF))；
According to the Euclidean distance between the normalization spatial spectrum and mean space spectrum, the sky for meeting constant false alarm rate is calculated
Between spectrum detection threshold ρ (f, θ, DF)：
Step 19, according to default angle interval θ ' and frequency interval f ' adjustment angles and frequency, repeat step 12-18,
The set Θ and characteristic frequency region at traversal direction angleObtain centered on the detection array, on
Frequency, direction and false alarm rate, the spatial spectrum detection threshold set ρ (F, Θ, the D that meet constant false alarm rateF) and corresponding spatial spectrum
Template set P (F, Θ, DF).In the present embodiment, the spatial spectrum template is that obtained spatial spectrum is calculated based on system false alarm rate
Template.The default angle interval θ ' is equal to default orientation accuracy α.
It can be seen that, the CFAR object detection method that the present embodiment is proposed is obtaining the look-in frequency of detection target, detection sky
Between spectrum and detection orientation result after, further according to the set of spatial spectrum detection threshold and corresponding spatial spectrum template set being obtained ahead of time
Carry out carrying out spatial spectrum further analysis detection, to judge that detection target whether there is.I.e. to spatial spectrum in directional link
Carry out the target detection energy in the case of further analysis detection, utilization space directed information lifting low signal-to-noise ratio and Arctic ice area
Power.This method can reduce detection false-alarm, and significant for the remote detection capacity of orientation for lifting detection system.
Embodiment two
A kind of CFAR object detection system is present embodiments provided, as shown in figure 3, including：
Template storage unit, the template storage unit be used for store centered on detection array, on frequency, direction and
False alarm rate, the set of spatial spectrum detection threshold and corresponding spatial spectrum template set that meet constant false alarm rate.It is described to detect battle array
It is classified as center, on frequency, direction and false alarm rate, the spatial spectrum detection threshold set that meets constant false alarm rate and corresponding space
Spectrum template set is obtained by method described in embodiment one.
Detection array, the detection array is used to obtain the look-in frequency of current detection target, space exploration spectrum and detected
Orient result.In the present embodiment, the detection array both can put down a burst of row for polywater, or how far solid array.
First retrieval unit, first retrieval unit is connected with the template storage unit and detection array respectively, uses
Retrieve, obtain and the look-in frequency in the spatial spectrum template set according to the look-in frequency and detection orientation result
The detection spatial spectrum corresponding with detection orientation result.
Space exploration composes thresholding acquiring unit, the space exploration spectrum thresholding acquiring unit and the first retrieval unit phase
Even, composed for receiving the detection spatial spectrum with the space exploration, and calculate the detection spatial spectrum and the space exploration
The corresponding space exploration spectrum thresholding of spectrum；
Second retrieval unit, second retrieval unit is connected with the template storage unit and detection array respectively, uses
Retrieve, obtain and the detection in the spatial spectrum detection threshold set according to the look-in frequency and detection orientation result
The frequency detection spatial spectrum detection threshold corresponding with detection orientation result.
Target discrimination unit, the target discrimination unit composes thresholding acquiring unit and the second inspection with the space exploration respectively
Cable elements are connected, for judging whether the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding, if the detection is empty
Between spectrum thresholding be not more than it is described detection spatial spectrum thresholding, then judge detection target exist, if the space exploration spectrum thresholding be more than
The detection spatial spectrum thresholding, then judge that detection target is not present.
Detection simulator provided by the present invention is described in detail above.Specific case used herein is to this
The principle and embodiment of invention are set forth, the explanation of above example be only intended to help to understand the present invention method and
Its core concept.It should be pointed out that to those of ordinary skill in the art, under the premise without departing from the principles of the invention,
Some improvement and modification can also be carried out to the present invention, these are improved and modification also falls into the protection domain of the claims in the present invention
It is interior.
Claims (9)
1. a kind of CFAR object detection method, it is characterised in that including：
Obtain centered on detection array, on frequency, direction and false alarm rate, the spatial spectrum detection threshold that meets constant false alarm rate
Set and corresponding spatial spectrum template set, comprise the following steps：
Step 11, acquisition history detection clarification of objective frequency rangeWherein, fLIt is characterized under frequency
Limit, fHIt is characterized upper frequency limit；
Step 12, according to a certain frequency f in the characteristic frequency region, obtain sinusoidal signal s (f)；
Step 13, the array manifold according to detection array and the sinusoidal signal s (f) obtain the array of θ ∈ Θ in a direction
Signal S (f, θ), wherein, Θ is the set of all deflections centered on the detection array；
Step 14, each passage superimposed noise signal to the array signal S (f, θ), obtain band and make an uproar array signal Xi(f, θ)
=S (f, θ)+Ni, i=1,2,3...M, wherein, NiMulti-channel noise during noise is added for ith, M is calculation times；
Step 15, make an uproar array signal X according to the bandi(f, θ) is oriented processing to history detection target, obtains normalizing
Change spatial spectrum Pi(f, θ) and orientation result θi；
Step 16, according to the orientation result θiFalse alarm rate D is calculated with default orientation accuracy threshold alphaFWith average spatial spectrum P (f,
θ)；
Step 17, judge the false alarm rate whether be not more than default false alarm rate threshold value,
If the false alarm rate is more than default false alarm rate threshold value, signal to noise ratio is adjusted, and go to step 14,
If the false alarm rate is not more than default false alarm rate threshold value, step 18 is gone to；
Step 18, according to the normalization spatial spectrum for meeting default false alarm rate requirement, orientation result and false alarm rate expired
Spatial spectrum detection threshold ρ (f, θ, the D of sufficient constant false alarm rateF)；
Step 19, according to default angle interval and frequency interval adjustment angle and frequency, repeat step 12-18, traversal direction
The set Θ and characteristic frequency region at angleObtain centered on the detection array, on frequency, direction
With false alarm rate, the spatial spectrum detection threshold set ρ (F, Θ, the D that meet constant false alarm rateF) and corresponding spatial spectrum template set P
(F,Θ,DF)；
Obtain look-in frequency, space exploration spectrum and the detection orientation result of current detection target；
Retrieved, obtained and the detection frequency in the spatial spectrum template set according to the look-in frequency and detection orientation result
The rate detection spatial spectrum corresponding with detection orientation result；
Calculate the detection spatial spectrum and compose corresponding space exploration spectrum thresholding with the space exploration；
Retrieved according to the look-in frequency and detection orientation result in the spatial spectrum detection threshold set, obtain and visited with described
The measured frequency detection spatial spectrum detection threshold corresponding with detection orientation result；
Judge whether the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding,
If the space exploration spectrum thresholding is not more than the detection spatial spectrum thresholding, judge that current detection target is present,
If the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding, judge that current detection target is not present.
2. CFAR object detection method according to claim 1, it is characterised in that in step 12, the sinusoidal signal s
(f) it is：
Wherein, n is sample rate.
3. CFAR object detection method according to claim 1, it is characterised in that in step 13, the array signal S
(f, θ) is：
Wherein, r is the array element radius of array, and c is the velocity of sound, and K is array
Element number of array.
4. CFAR object detection method according to claim 1, it is characterised in that in step 14, calculation times M is 250-
350。
5. CFAR object detection method according to claim 1, it is characterised in that empty using beam-forming schemes or many baryons
Between classification to the history detection target be oriented processing.
6. CFAR object detection method according to claim 1, it is characterised in that step 16 includes：
Calculate orientation error Δ θ：
Δ θ=| θi-θ|；
Count Δ θ≤α number of times m；
Calculate false alarm rate DF：
DF=(M-m)/M；
Calculate mean space spectrum P (f, θ)：
<mrow>
<mi>P</mi>
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<mi>f</mi>
<mo>,</mo>
<mi>&theta;</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mi>m</mi>
</mfrac>
<munder>
<mo>&Sigma;</mo>
<mrow>
<msub>
<mi>&Delta;&theta;</mi>
<mn>1</mn>
</msub>
<mo>&le;</mo>
<mi>&alpha;</mi>
</mrow>
</munder>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<mrow>
<mo>(</mo>
<mi>f</mi>
<mo>,</mo>
<mi>&theta;</mi>
<mo>)</mo>
</mrow>
<mo>,</mo>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mi>M</mi>
<mo>.</mo>
</mrow>
7. CFAR object detection method according to claim 6, it is characterised in that step 18 includes：
Calculate orientation error；
Extract normalization spatial spectrum, orientation result and false alarm rate that orientation error is not more than default orientation accuracy threshold value；
Calculate the Euclidean distance between the normalization spatial spectrum and mean space spectrum：
ρi(P(f,θ,DF),Pi(f,θ,DF))；
According to the Euclidean distance between the normalization spatial spectrum and mean space spectrum, the spatial spectrum for meeting constant false alarm rate is calculated
Detection threshold ρ (f, θ, DF)：
<mrow>
<mi>&rho;</mi>
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<mo>(</mo>
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</mfrac>
<munder>
<mo>&Sigma;</mo>
<mrow>
<msub>
<mi>&Delta;&theta;</mi>
<mi>i</mi>
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</mrow>
</munder>
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</msub>
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<msub>
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</msub>
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<mi>M</mi>
<mo>.</mo>
</mrow>
8. CFAR object detection method according to claim 6, it is characterised in that in step 19, the default angle
It is spaced θ ' and is equal to default orientation accuracy α.
9. a kind of CFAR object detection system, it is characterised in that including：
Template storage unit, the template storage unit is used to store centered on detection array, on frequency, direction and false-alarm
Rate, the set of spatial spectrum detection threshold and corresponding spatial spectrum template set that meet constant false alarm rate；
Detection array, the detection array is used for look-in frequency, space exploration spectrum and the detection orientation for obtaining current detection target
As a result；
First retrieval unit, first retrieval unit is connected with the template storage unit and detection array respectively, for root
Retrieve, obtain and the look-in frequency and spy in the spatial spectrum template set according to the look-in frequency and detection orientation result
Determine to the corresponding detection spatial spectrum of result；
Space exploration composes thresholding acquiring unit, and the space exploration spectrum thresholding acquiring unit is connected with first retrieval unit,
Composed for receiving the detection spatial spectrum with the space exploration, and calculate the detection spatial spectrum and compose institute with the space exploration
Corresponding space exploration composes thresholding；
Second retrieval unit, second retrieval unit is connected with the template storage unit and detection array respectively, for root
Retrieve, obtain and the look-in frequency in the spatial spectrum detection threshold set according to the look-in frequency and detection orientation result
The detection spatial spectrum detection threshold corresponding with detection orientation result；
Target discrimination unit, the target discrimination unit composes thresholding acquiring unit with the space exploration respectively and the second retrieval is single
Member is connected, for judging whether the space exploration spectrum thresholding is more than the detection spatial spectrum thresholding, if the space exploration is composed
Thresholding is not more than the detection spatial spectrum thresholding, then judges that current detection target is present, if space exploration spectrum thresholding is more than
The detection spatial spectrum thresholding, then judge that current detection target is not present.
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| CN101198884A (en) * | 2005-04-14 | 2008-06-11 | 秦内蒂克有限公司 | Method and apparatus for detecting a target in a scene |
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| CN103064077A (en) * | 2012-12-26 | 2013-04-24 | 中国科学院声学研究所 | Amplitude-weighting-based target detection method and equipment |
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| CN101198884A (en) * | 2005-04-14 | 2008-06-11 | 秦内蒂克有限公司 | Method and apparatus for detecting a target in a scene |
| CN201732161U (en) * | 2010-05-05 | 2011-02-02 | 北京航空航天大学 | High-speed constant false alarm rate detector based on digital signal processor |
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