CN110995628B - Method for analyzing and processing LTE-A system message in mobile communication system - Google Patents
Method for analyzing and processing LTE-A system message in mobile communication system Download PDFInfo
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Abstract
The invention relates to a method for analyzing and processing LTE-A system messages in a mobile communication system, which comprises the following steps: extracting I/Q data of a receiving end, and respectively generating 3 main synchronization signal local sequences; respectively generate
The corresponding auxiliary synchronization signal local sequence is related to the data corresponding to the auxiliary synchronization signal in the baseband data of the receiving end; performing frequency offset estimation by using the correlation, and performing corresponding compensation on the frequency offset; performing linear minimum mean square error estimation by using a locally generated cell reference signal sequence and a cell reference signal in received data to obtain channel impulse response; decoding a physical broadcast channel; extracting even frame frequency domain data; decoding a physical control format indication channel to obtain a control format indication; extracting and decoding physical downlink shared channel data; and extracting and analyzing data of frames and subframes possibly carrying other system messages. The method for analyzing and processing the LTE-A system message in the mobile communication system is suitable for complex electromagnetic environment and has strong environment using capacity.
Description
Technical Field
The invention relates to the field of mobile communication, in particular to the field of mobile communication research and development and testing, and specifically relates to a method for analyzing and processing LTE-A system messages in a mobile communication system.
Background
The LTE adopts key technologies such as OFDM, MIMO and the like, supports various bandwidth allocation, obviously increases the spectrum efficiency and the allocation flexibility, and simultaneously obviously increases the system capacity and the coverage. Compared with a 3G CDMA mobile communication system, LTE can bring better use experience to users and better meet the data service requirements of the users. Currently, main services applied to LTE are: high definition digtal camera, car networking, unmanned aerial vehicle etc.. Due to the great advantages of LTE performance and application occasions and the good compatibility with 5G in technology, the relevant industrial chain of LTE is vigorously developed in various countries, the maximum value of the industrial chain is excavated, and the massive return is obtained. The LTE technology can be deeply applied to various industries, and great convenience is provided for daily work and life of people.
The LTE-Advanced (LTE-A) is the evolution of the LTE, and the LTE-A adopts key technologies such as multi-band cooperation, spectrum integration, relay, heterogeneous network interference coordination and enhancement and the like, so that the peak rate of system transmission, the spectrum utilization rate, the performance of cell boundary users and the like can be greatly improved, and meanwhile, the networking efficiency can be integrally improved. By carrier aggregation, the LTE-A can obtain the bandwidth of 100MHz at most and can simultaneously support continuous and discontinuous frequency spectrums. The Relay technology only amplifies signals but not noise and interference, improves the signal-to-noise ratio, can optimize the system capacity of a hot spot area, and simultaneously better covers a plurality of areas with weak signals, such as tunnels, mountainous regions and the like. The heterogeneous network interference coordination and enhancement can effectively solve the problem of complex interference among base stations with different powers and systems in the heterogeneous network.
Current LTE-a system message parsing approach usually uses LS (least square) channel estimation, and detects all candidates in the whole search space under different aggregation levels when DCI (downlink control information) is blindly solved. The method can well meet the requirements when the signal-to-noise ratio is larger and no channel fading exists, but when the signal-to-noise ratio is smaller, the signal quality is seriously deteriorated, the probability of successful message resolution is greatly reduced, and the time consumed for successful resolution is longer. The invention provides a method for rapidly analyzing LTE-A system messages in a complex electromagnetic environment. The LMMSE (linear minimum mean square error estimation) is adopted, so that a useful signal can be effectively extracted from noise and interference, and the environment using capacity is strong. Meanwhile, the algorithm design fully considers the PDCCH (physical downlink control channel) distribution structure, omits a part of PDCCH candidate search, and reduces the system operation time and hardware overhead.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method for analyzing and processing the LTE-A system message in a mobile communication system, which is rapid, efficient and wide in application range.
In order to achieve the above object, a method for parsing LTE-a system messages in a mobile communication system according to the present invention includes:
the method for analyzing and processing the LTE-A system message in the mobile communication system is mainly characterized by comprising the following steps:
(1) extracting I/Q data of a receiving end, respectively generating 3 main synchronous signal local sequences, performing sliding correlation calculation with base band data of the receiving end, performing half-frame synchronization according to a correlation peak value, and determining an ID (identity) in a group
(2) Respectively generate
The corresponding auxiliary synchronizing signal local sequence is related to the data corresponding to the auxiliary synchronizing signal in the baseband data of the receiving end, the frame synchronization is carried out according to the related peak value, and the group ID is determined
And obtaining a physical layer cell;
(3) extracting data of a symbol where the main synchronization signal is located and cyclic prefix data of the symbol, performing frequency offset estimation by utilizing correlation, and performing corresponding compensation on frequency offset;
(4) extracting frequency domain data of the first 4 symbols of a time slot 1 where a physical broadcast channel is located, performing linear minimum mean square error estimation by using a locally generated cell reference signal sequence and a cell reference signal in received data to obtain channel impulse response, and obtaining data of the physical broadcast channel of a sending end after phase compensation;
(5) decoding a physical broadcast channel;
(6) extracting even frame frequency domain data, obtaining channel impact response by using a cell reference signal, decoding a physical control format indication channel to obtain a control format indication, and decoding a physical downlink control channel to obtain downlink control information;
(7) extracting and decoding physical downlink shared channel data;
(8) and extracting and analyzing data of frames and subframes possibly carrying other system messages.
Preferably, the sliding correlation calculation in step (1) is specifically:
the sliding correlation calculation is performed according to the following formula:
R n ＝C n ·C′ n ；
wherein R is n Is a correlation result, C n Is the conjugate of a locally generated reference sequence, C' n Is the data of the receiving end baseband.
Preferably, the calculating the physical layer cell in step (2) specifically includes:
the physical layer cell is calculated according to the following formula:
wherein the content of the first and second substances,
in order to be the group ID,
is an intra-group ID.
Preferably, the calculating the frequency offset estimation in step (3) specifically includes:
calculating a frequency offset estimate according to the following formula:
R′(m)＝R(m)×e -j2πΔfkTc ；
where R' (m) is compensated baseband data, R (m) is original received baseband data, Δ f is a frequency offset value, k is a chip number, and Tc is a chip interval.
Preferably, the step (4) further comprises the following steps:
(4.1) obtaining a linear minimum mean square error estimation channel matrix through least square channel estimation;
the step (4.1) of calculating the linear minimum mean square error estimation channel matrix specifically comprises:
the linear minimum mean square error estimate channel matrix is calculated according to the following formula:
wherein H LMMSE Is a linear minimum mean square error estimation channel matrix, R hh Is the channel impulse response autocorrelation matrix, β is the constellation factor (QPSK, β 1; 16QAM, β 17/9), SNR is the average signal-to-noise ratio, I is the identity matrix, H is the average SNR, I is the identity matrix, H is the average SNR, and LS is the LS channel estimation matrix.
Preferably, the step (8) specifically comprises the following steps:
(8.1) extracting data of frames and subframes possibly carrying other system messages according to the system information scheduling list, and continuing to the steps (6) and (7);
(8.2) judging whether the data analysis of the current subframe is successful, if so, continuing the step (8.3); otherwise, extracting possible subframes backwards, and continuing the step (8.1);
and (8.3) stopping resolving or switching to resolve the system message of the next SI scheduling.
Preferably, the decoding step in the steps (5) to (7) specifically includes the following steps:
(a1) performing linear minimum mean square error estimation on the cell reference signal;
(a2) compensating the phase of the data of the channel to be decoded;
(a3) de-layer mapping pre-coding;
(a4) demodulating;
(a5) descrambling;
(a6) rate de-matching;
(a7) channel decoding;
(a8) and (6) CRC checking.
The method for analyzing and processing the LTE-A system message in the mobile communication system is suitable for a method for quickly analyzing the LTE-A system message in a complex electromagnetic environment, can effectively extract useful signals from noise and interference by adopting LMMSE channel estimation, and has strong environmental usability. Meanwhile, the signal structure is fully considered in algorithm design, a part of unnecessary calculation process is reduced, the system operation time and hardware overhead are reduced, and the real-time performance of algorithm implementation is enhanced.
Drawings
Fig. 1 is a flowchart of a method for parsing LTE-a system messages in a mobile communication system according to the present invention.
Fig. 2 is a general flowchart of channel decoding of the method for parsing LTE-a system messages in the mobile communication system according to the present invention.
Fig. 3 is MIB information analyzed by a method for analyzing LTE-a system messages in a mobile communication system according to the present invention.
Fig. 4 illustrates SIB1 information analyzed by the method for analyzing LTE-a system messages in the mobile communication system according to the present invention.
Fig. 5 illustrates SIB3 information analyzed by the method for analyzing LTE-a system messages in the mobile communication system according to the present invention.
Detailed Description
In order to more clearly describe the technical contents of the present invention, the following further description is given in conjunction with specific embodiments.
The method for analyzing and processing the LTE-A system message in the mobile communication system comprises the following steps:
(1) extracting I/Q data of a receiving end, respectively generating 3 kinds of main synchronous signal local sequences, performing sliding correlation calculation with baseband data of the receiving end, performing half-frame synchronization according to a correlation peak value, and determining an ID (identity) in a group
(2) Respectively generate
The corresponding auxiliary synchronizing signal local sequence is related with the data corresponding to the auxiliary synchronizing signal in the baseband data of the receiving end, and the frame synchronization is carried out according to the related peak valueStep (c) and determine a group ID
And obtaining a physical layer cell;
(3) extracting data of a symbol where a main synchronization signal is located and cyclic prefix data of the symbol, performing frequency offset estimation by using correlation, and performing corresponding compensation on frequency offset;
(4) extracting frequency domain data of the first 4 symbols of a time slot 1 where a physical broadcast channel is located, performing linear minimum mean square error estimation by using a locally generated cell reference signal sequence and a cell reference signal in received data to obtain channel impulse response, and obtaining data of the physical broadcast channel of a sending end after phase compensation;
(5) decoding a physical broadcast channel;
(6) extracting even frame frequency domain data, obtaining channel impact response by using a cell reference signal, decoding a physical control format indication channel to obtain a control format indication, and decoding a physical downlink control channel to obtain downlink control information;
(7) extracting and decoding physical downlink shared channel data;
(8) extracting and analyzing data of frames and subframes possibly carrying other system messages;
(8.1) extracting data of frames and subframes possibly carrying other system messages according to the system information scheduling list, and continuing to the steps (6) and (7);
(8.2) judging whether the data analysis of the current subframe is successful, if so, continuing the step (8.3); otherwise, extracting possible subframes backwards, and continuing the step (8.1);
(8.3) stopping analyzing or switching and analyzing the system message of the next SI scheduling;
the decoding steps in the steps (5) to (7) specifically include the following steps:
(a1) performing linear minimum mean square error estimation on the cell reference signal;
(a2) compensating the phase of the data of the channel to be decoded;
(a3) de-layer mapping pre-coding;
(a4) demodulating;
(a5) descrambling;
(a6) rate de-matching;
(a7) channel decoding;
(a8) and (6) CRC checking.
As a preferred embodiment of the present invention, the step (1) performs a sliding correlation calculation, specifically:
the sliding correlation calculation is performed according to the following formula:
R n ＝C n ·C′ n ；
wherein R is n Is a correlation result, C n Is the conjugate of a locally generated reference sequence, C' n Is the data of the receiving end baseband.
As a preferred embodiment of the present invention, the calculating a physical layer cell in step (2) specifically includes:
the physical layer cell is calculated according to the following formula:
wherein the content of the first and second substances,
in order to be the group ID,
is an intra-group ID.
As a preferred embodiment of the present invention, the calculating the frequency offset estimation in step (3) specifically includes:
calculating a frequency offset estimate according to the following formula:
R′(m)＝R(m)×e -j2πΔfkTc ；
where R' (m) is the compensated baseband data, R (m) is the original received baseband data, Δ f is the frequency offset value, k is the chip number, and Tc is the chip interval.
As a preferred embodiment of the present invention, the step (4) further comprises the following steps:
(4.1) obtaining a linear minimum mean square error estimation channel matrix through least square channel estimation;
the step (4.1) of calculating the linear minimum mean square error estimation channel matrix specifically comprises:
the linear minimum mean square error estimate channel matrix is calculated according to the following formula:
wherein H LMMSE Is a linear minimum mean square error estimation channel matrix, R hh Is the channel impulse response autocorrelation matrix, β is the constellation factor (QPSK, β 1; 16QAM, β 17/9), SNR is the average signal-to-noise ratio, I is the identity matrix, H is the average SNR, I is the identity matrix, H is the average SNR, and LS is the LS channel estimation matrix.
In a specific implementation manner, the invention relates to a message analysis method of an LTE-A system, which can be used in an algorithm for message analysis of the LTE-A system and relates to the field of mobile communication research and development and testing. Aiming at the problem of message analysis of an LTE-A system, the frame synchronization and the PCI (physical layer cell) blind detection are completed by using the sliding correlation of the baseband data of a receiving end and a locally generated synchronization signal; extracting base band PSS (primary synchronization signal) data of a receiving end, and performing frequency offset estimation and compensation by using correlation; extracting baseband PBCH (physical broadcast channel) data of a receiving end, performing LMMSE (linear minimum mean square error estimation) by using CRS (cell reference signal), and performing blind solution on MIB (master information block) after phase compensation; extracting data of a receiving end baseband even frame subframe 5, and performing LMMSE by using CRS (China Mobile radio standard) to obtain channel impact response of all symbols of the whole subframe 5; decoding a PCFICH (physical control format indicator channel), determining a CFI (control format indicator), decoding a PDCCH (physical downlink control channel), and blindly decoding DCI (downlink control information) formats 1A and 1C scrambled by SI-RNTI (radio network temporary identifier); extracting and decoding PDSCH (physical downlink shared channel) data according to the DCI to obtain SIB1 (system information block 1); according to the SI (system information) scheduling list in the SIB1, the approximate positions occupied by other system information are obtained, subframes possibly carrying data are processed according to the same process of decoding SIB1, a downlink control channel is decoded first, and then a downlink shared channel is decoded.
Because a plurality of symbols are used for interpolation in channel estimation and an LMMSE algorithm is adopted, the method can adapt to a complex electromagnetic field environment and can quickly and correctly analyze the LTE-A system information. According to the method, when the DCI formats 1A and 1C are blindly decoded, the overlapping search algorithm of the public search space is adopted, and efficient and rapid DCI blind detection is realized under the condition of greatly simplifying the operation amount. The invention provides a method for efficiently and quickly analyzing LTE-A system messages in a complex electromagnetic field environment.
A message analysis method of an LTE-A system comprises the following steps:
1) and extracting 25ms I/Q data of a receiving end, and ensuring that an even frame carries SIB1 (system information block 1). Respectively generating 3 PSS (primary synchronization signal) local sequences, performing sliding correlation calculation with 6ms receiving end base band data to ensure that one PSS is inevitably in the correlation data, performing half-frame synchronization according to a correlation peak value, and determining
(intra-group ID). The correlation formula is:
R n ＝C n ·C′ n ……(1)
wherein R is n Is a correlation result, C n Is the conjugate of a locally generated reference sequence, C' n Is the data (containing noise and interference) of the receiving end baseband.
2) Respectively generate
Corresponding 168 SSS (secondary synchronization signal) local sequences are correlated with data at the corresponding SSS within 6ms in 1), frame synchronization is carried out according to correlation peak values, and determination is made
(group ID) to thereby obtain a physical layer cell
3) And extracting the data of the symbol where the PSS is positioned and the CP (cyclic prefix) data of the symbol, carrying out frequency offset estimation by utilizing correlation, and carrying out corresponding compensation on the frequency offset. The formula of the frequency offset compensation is as follows:
R′(m)＝R(m)×e -j2πΔfkTc ……(2)
where R' (m) is compensated baseband data, R (m) is original received baseband data, Δ f is a frequency offset value, k is a chip number, and Tc is a chip interval.
4) Extracting frequency domain data of the first 4 symbols of a time slot 1 where a Physical Broadcast Channel (PBCH) is located, performing LMMSE (Linear minimum mean Square error estimation) by using a locally generated CRS (cell reference signal) sequence and a CRS in received data to obtain channel impact response, and obtaining PBCH data of a transmitting end after phase compensation.
5) Decoding PBCH channel, the decoding process is: de-layer mapping precoding, demodulation, de-scrambling, de-rate matching, Viterbi decoding, and CRC check. In the PBCH decoding process, the number of antennas, the number of antenna ports and the lower 2 bits of a radio frame need to be decoded in a blind mode.
6) And extracting frequency domain data of the even frame subframe 5, and obtaining channel impact response by using the CRS. Decoding PCFICH (physical control format indication channel) to obtain CFI (control format indication), decoding PDCCH (physical downlink control channel) to obtain DCI (downlink control information), wherein the decoding process comprises the following steps: de-layer mapping precoding, demodulation, de-scrambling, de-rate matching, Viterbi decoding, and CRC check. In the PDCCH decoding process, DCI formats 1A and 1C scrambled by SI-RNTI (a radio network temporary identifier) need to be decoded in a CSS (common search space) in a blind mode, and the value of the SI-RNTI is fixedly equal to 0 xFFFF. If the LTE type is TDD, the TDD uplink and downlink subframe configuration also needs to be blindly solved.
7) Extracting and decoding PDSCH (physical downlink shared channel) data, wherein the decoding process comprises the following steps: de-layer mapping precoding, demodulation, de-scrambling, de-rate matching, SISO decoding, and CRC check. If the CRC check passes, an SI (system information) scheduling list and the like can be known.
8) Extracting data of frames and subframes which may carry other system messages according to the SI scheduling list, repeating the steps 6) and 7), if the data analysis of the current subframe fails, extracting the next possible subframe to continue the analysis, and repeating the steps 6) and 7), and stopping the analysis or switching the analysis of the system message of the next SI scheduling until the analysis is successful or the subframe exceeds the range.
In step 4), the LMMSE channel estimate is obtained on the basis of LS (least squares) channel estimate:
wherein H LMMSE Is an LMMSE channel estimation matrix, R hh Is the channel impulse response autocorrelation matrix, β is the constellation factor (QPSK, β 1; 16QAM, β 17/9), SNR is the average signal-to-noise ratio, I is the identity matrix, H is the average SNR, I is the identity matrix, H is the average SNR, and LS is the LS channel estimation matrix.
In steps 5) to 7), the layer mapping precoding modes all adopt transmission diversity, the modulation modes all adopt QPSK, and the decoding process is performed in a reverse direction.
In step 6), considering that the search spaces of the CSS aggregation levels L-4 and L-8 overlap, when detecting the candidate 1 of L-8, the candidate 1 of L-4 is also detected, and when detecting the candidate 2 of L-8, the candidate 3 of L-4 is also detected, so that only the candidates 2 and 4 of L-4 and the candidates 1 and 2 of L-8 need to be actually detected.
In step 8), a plurality of system messages with the same period may share one SI schedule, i.e., be transmitted together. Other system messages cannot appear on the even frame subframe 5 and the uplink subframe, and if the current subframe is a special subframe, only DwPTS (downlink pilot time slot) can be used for controlling and transmitting the system messages.
The method for analyzing and processing the LTE-A system message in the mobile communication system is suitable for a method for quickly analyzing the LTE-A system message in a complex electromagnetic environment, can effectively extract useful signals from noise and interference by adopting LMMSE channel estimation, and has strong environmental usability. Meanwhile, the signal structure is fully considered in algorithm design, a part of unnecessary calculation process is reduced, the system operation time and hardware overhead are reduced, and the real-time performance of algorithm implementation is enhanced.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims (5)
1. A method for parsing LTE-A system messages in a mobile communication system, the method comprising:
(1) extracting I/Q data of a receiving end, respectively generating 3 main synchronous signal local sequences, performing sliding correlation calculation with base band data of the receiving end, performing half-frame synchronization according to a correlation peak value, and determining an ID (identity) in a group
(2) Respectively generate
The corresponding auxiliary synchronizing signal local sequence is related to the data corresponding to the auxiliary synchronizing signal in the baseband data of the receiving end, the frame synchronization is carried out according to the related peak value, and the group ID is determined
And obtaining a physical layer cell;
(3) extracting data of a symbol where the main synchronization signal is located and cyclic prefix data of the symbol, performing frequency offset estimation by utilizing correlation, and performing corresponding compensation on frequency offset;
(4) the LTE-A wireless frame comprises 20 time slots with the number of 0-19, frequency domain data of the first 4 symbols of the time slot 1 with the number of 1, where a physical broadcast channel is located, is extracted, linear minimum mean square error estimation is carried out by utilizing a locally generated cell reference signal sequence and a cell reference signal in received data, channel impact response is obtained, and data of the physical broadcast channel of a sending end is obtained after phase compensation;
(5) decoding a physical broadcast channel;
(6) extracting even frame frequency domain data, and obtaining channel impact response by using a cell reference signal; decoding a physical control format indication channel to obtain a control format indication, and decoding a physical downlink control channel to obtain downlink control information;
(7) extracting and decoding physical downlink shared channel data;
(8) extracting and analyzing data of frames and subframes possibly carrying other system messages;
the calculating the physical layer cell in the step (2) specifically comprises:
the physical layer cell is calculated according to the following formula:
wherein the content of the first and second substances,
in order to be the group ID,
is an intra-group ID;
the calculating of the frequency offset estimation in the step (3) specifically includes:
calculating a frequency offset estimate according to the following formula:
R′(m)＝R(m)×e -j2πΔfkTc ；
where R' (m) is the compensated baseband data, R (m) is the original received baseband data, Δ f is the frequency offset value, k is the chip number, and Tc is the chip interval.
2. The method for parsing LTE-a system messages in a mobile communication system according to claim 1, wherein the step (1) performs sliding correlation calculation, specifically:
the sliding correlation calculation is performed according to the following formula:
R n ＝C n ·C′ n ；
wherein R is n Is a coherent knotFruit, C n Is the conjugate of a locally generated reference sequence, C' n Is the data of the receiving end baseband.
3. The method for parsing LTE-a system message in a mobile communication system according to claim 1, wherein the step (4) further comprises the steps of:
(4.1) obtaining a linear minimum mean square error estimation channel matrix through least square channel estimation;
the step (4.1) of calculating the linear minimum mean square error estimation channel matrix specifically comprises:
the linear minimum mean square error estimate channel matrix is calculated according to the following formula:
wherein H LMMSE Is a linear minimum mean square error estimation channel matrix, R hh Is the channel impulse response autocorrelation matrix, β is the constellation factor (QPSK, β 1; 16QAM, β 17/9), SNR is the average signal-to-noise ratio, I is the identity matrix, H is the average SNR, I is the identity matrix, H is the average SNR, and LS is the LS channel estimation matrix.
4. The method for parsing LTE-a system messages in a mobile communication system according to claim 1, wherein the step (8) specifically comprises the following steps:
(8.1) extracting data of frames and subframes possibly carrying other system messages according to the system information scheduling list, and continuing to the steps (6) and (7);
(8.2) judging whether the data analysis of the current subframe is successful, if so, continuing the step (8.3); otherwise, extracting possible subframes backwards, and continuing the step (8.1);
and (8.3) stopping resolving or switching to resolve the system message of the next SI scheduling.
5. The method for parsing LTE-a system messages in a mobile communication system according to claim 1, wherein the decoding steps in the steps (5) to (7) specifically include the following steps:
(a1) performing linear minimum mean square error estimation on the cell reference signal;
(a2) compensating the phase of the data of the channel to be decoded;
(a3) de-layer mapping pre-coding;
(a4) demodulating;
(a5) descrambling;
(a6) rate de-matching;
(a7) channel decoding;
(a8) and (6) CRC checking.
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