Adaptive azimuth updating method for radar signal sorting

Abstract

The invention provides an adaptive azimuth updating method for radar signal sorting, and relates to the technical field of electronic warfare radar reconnaissance signal processing. The method comprises the following steps: step 1, a temporary result azimuth feature statistics module respectively counts parameter features of all pulses and azimuth features of large-amplitude pulses in each radar pulse sequence, and outputs a single-frame temporary result of each signal; and 2, a large-amplitude signal identification judgment module carries out large-amplitude signal identification judgment according to the target scanning type and the target amplitude information. And step 3, a self-adaptive azimuth updating processing module performs self-adaptive updating processing on the azimuth of the target table signal for three states of a tracking signal, a non-tracking large-amplitude signal and a non-tracking small-amplitude signal according to a large-amplitude signal identification judgment result. According to the invention, self-adaptive azimuth updating processing of radar signal sorting is realized aiming at the change of the target scanning type and the detection amplitude information of the radiation source, and the statistical precision of the output azimuth of the signal sorting is improved.

Description

Technical Field

[0001] The present application relates to the technical field of electronic warfare radar reconnaissance signal processing, and in particular to an adaptive azimuth updating method for radar signal sorting. Background Art

[0002] Radar signal sorting is one of the important links in the radar reconnaissance system. First, the interleaved pulse descriptor word (PDW) data stream measured by the receiver is received, and the pulse sequence corresponding to each radar radiation source is separated in turn through clustering and deinterleaving processing. The single-frame temporary result is obtained through parameter feature statistics. Then, the single-frame temporary result is parameter-fused with the target table information to output a long-term stable radiation source description word (EDW).

[0003] When the temporary result parameter feature statistics are performed, all pulse sequences of each radar radiation source extracted are subjected to the radiation source parameter feature statistics of the single frame result, including carrier frequency, repetition frequency, amplitude, azimuth, etc. When the target table parameter is fused, the temporary result information is used to update the parameters of the fused target information and output them.

[0004] In the existing signal sorting method, when the EDW azimuth is updated, all pulse sequence results of each radar radiation source are extracted for update, without differential processing for changes in target scanning type and amplitude information. For tracking radar, the number of pulses is large and the amplitude fluctuation is small, and the azimuth statistics obtained by this method can be directly output. However, for search radar, when the radar reconnaissance system detects the main lobe and side lobe of the radar at the same time, and the side lobe is located near the receiver sensitivity, the azimuth measurement error of the side lobe becomes larger, which will cause the azimuth in the output EDW to fluctuate due to the switching back and forth of the main lobe and side lobe, causing the azimuth update value to fluctuate. Summary of the invention

[0005] The present application provides an adaptive azimuth updating method for radar signal sorting, which can be used to solve the current technical problem of low statistical accuracy of signal sorting output azimuth.

[0006] The present application provides an adaptive azimuth updating method for radar signal sorting, the method comprising:

[0007] Step 1: The temporary result azimuth feature statistics module receives the interleaved PDW data stream measured by the receiver, separates the pulse sequences corresponding to each radar radiation source in turn through clustering and deinterleaving, performs parameter feature statistics of all pulses in a single frame of each radar pulse sequence and azimuth feature statistics of large-amplitude pulses, and outputs the temporary results of each signal single frame;

[0008] Step 2: The large amplitude signal identification judgment module receives the temporary results of each signal single frame from the temporary result azimuth feature statistics module, finds the matching target table batch number through parameter fusion processing, and makes a large amplitude signal identification judgment based on the information of the scan type and target amplitude;

[0009] Step 3, the adaptive azimuth update processing module adaptively updates the azimuth of the target table signal according to the large-amplitude signal identification judgment result for the three states of tracking signal, non-tracking large-amplitude signal, and non-tracking small-amplitude signal.

[0010] Further, in step 1, the temporary result azimuth feature statistics module receives the interleaved PDW data stream measured by the receiver, separates the pulse sequences corresponding to each radar radiation source in turn through clustering and deinterleaving processing, performs parameter feature statistics of all pulses in a single frame of each radar pulse sequence and azimuth feature statistics of large-amplitude pulses, and outputs the temporary results of each signal single frame, including:

[0011] Step 101, receiving the i-th frame interleaved PDW data stream PDWi measured by the receiver, which is:

[0012]

[0013] Where J represents the total number of full pulses in the i-th frame, represents the amplitude value of the jth pulse in the i-th frame, represents the azimuth value of the jth pulse in the i-th frame, Other parameter values ​​representing the jth pulse in the i-th frame include carrier frequency, arrival time, and pulse width. Through clustering and deinterleaving, the pulse sequences corresponding to each radar radiation source are separated in turn. in K m represents the total number of single-frame pulses of the m-th radiation source in the i-th frame,

[0014] Step 102, calculating the parameter characteristic statistics of all pulses in a single frame in the pulse sequence of the same radiation source Among them, m∈[1,M], Indicates the single frame carrier frequency, repetition rate, and pulse width of the mth radiation source; Indicates the maximum single-frame amplitude of the mth radiation source; Represents the mean of all pulse azimuths in a single frame of the mth radiation source;

[0015] Step 103, calculating the azimuth characteristic statistics of the large amplitude pulses in the pulse sequence of the same radiation source and effective identification of position

[0016] Step 104: Output the temporary results of each radiation source single frame in

[0017]

[0018] Further, in step 103, the azimuth characteristic statistics of the large amplitude pulses in the pulse sequence of the same radiation source are calculated.

[0019] and effective identification of position include:

[0020] Step 1031, initializing the amplitude threshold thd P a, minimum processing pulse number thdpn; if Pa m ≥thd Pa , execute step 1032; otherwise, execute step 1034;

[0021] Step 1032: if the current radiation source is a large amplitude signal, extract the pulses whose amplitude is greater than the amplitude threshold. in K' is the total number of pulses greater than the amplitude threshold;

[0022] Step 1033: If the total number of pulses greater than the amplitude threshold K'≥thd pn ,but Execute step 104; otherwise, execute step 1034;

[0023] Step 1034: the current radiation source is a small amplitude signal, and the azimuth characteristic statistics of the large amplitude pulse are not performed, and the azimuth is effectively marked. Azimuth characteristic statistics of large amplitude pulses

[0024] Further, in step 2, the large amplitude signal identification judgment module receives the temporary results of each signal single frame from the temporary result azimuth feature statistics module, finds the matching target table batch number through parameter fusion processing, and performs large amplitude signal identification judgment according to the information of the scanning type and the target amplitude; including:

[0025] Step 201, set the target table batch number information list before the current frame processing to in is the target parameter of the nth target at time i-1, is the amplitude value of the nth target at time i-1, is the position value of the nth target at time i-1, are other parameter values ​​of the nth target at time i-1, including carrier frequency, repetition rate, and pulse width. is the scan type of the nth target at time i-1; the scan types include tracking and non-tracking; non-tracking includes scanning and unknown;

[0026] Step 202, receiving the temporary result of each signal single frame from the temporary result azimuth feature statistics module, performing parameter fusion processing by carrier frequency, repetition cycle, and pulse width, and finding the matching target table batch number, and then and Match and update parameters

[0027]

[0028] Step 203, if the scan type For tracking, execute step 204; otherwise, execute step 205;

[0029] Step 204: The current target is a tracking target, and the large amplitude signal processing is not enabled, that is, the large amplitude signal identification Execute step 3;

[0030] Step 205: The current target is a non-tracking target. Then turn on the large amplitude signal processing, that is, the large amplitude signal identification Otherwise, do not enable large amplitude signal processing, i.e. large amplitude signal identification

[0031] Further, in step 3, the adaptive azimuth update processing module performs adaptive update processing on the azimuth of the target table signal according to the large amplitude signal identification judgment result for the three states of tracking signal, non-tracking large amplitude signal, and non-tracking small amplitude signal, including:

[0032] Step 301, traverse the target table, if the target batch number has no matching temporary result in the current frame, the position is not updated, that is, Execute step 306;

[0033] Step 302: If the large amplitude signal indicator is 0, execute step 303; if the large amplitude signal indicator If it is 1, execute step 304; otherwise, execute step 305;

[0034] Step 303: Tracking signal azimuth update processing, azimuth direct update, that is, Execute step 306;

[0035] Step 304: non-tracking large amplitude signal azimuth update processing. The current target is not being tracked and the large amplitude signal processing is currently turned on. If the azimuth of the temporary result is valid, If is 0, the position is not updated, that is If the position of the temporary result is valid, If is 1, the position is updated. Execute step 306;

[0036] Step 305: non-tracking small amplitude signal azimuth update processing. The current target is not being tracked and the large amplitude signal processing is not currently enabled. If the azimuth of the temporary result is valid, If is 0, If the position of the temporary result is valid, is 1, then Execute step 306;

[0037] Step 306: Output target batch number information

[0038] Compared with the existing signal sorting method of using all pulse sequences of each radar radiation source for azimuth statistics and update, the present application comprehensively considers the changes in azimuth measurement errors caused by changes in radiation source target scanning type and detection amplitude information, and divides the azimuth update processing into tracking signals, non-tracking large-amplitude signals, and non-tracking small-amplitude signals, thereby realizing adaptive azimuth update processing for radar signal sorting.

[0039] In view of the situation where the radar reconnaissance system simultaneously detects the main lobe and side lobe of the search system radar, the present application adopts a non-tracking large-amplitude signal update processing method, uses the azimuth characteristic statistical values ​​of the large-amplitude pulse to update the azimuth, and improves the statistical accuracy of the signal sorting output azimuth. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A flow chart of the azimuth adaptive updating method for radar signal sorting provided in an embodiment of the present application;

[0041] Figure 2 An interleaved PDW data stream measured by a receiver provided in an embodiment of the present application;

[0042] Figure 3 A statistical diagram of the tracking signal azimuth characteristics provided in an embodiment of the present application;

[0043] Figure 4 A statistical diagram of the azimuth characteristics of non-tracking large-amplitude signals provided in an embodiment of the present application;

[0044] Figure 5 A statistical diagram of the azimuth characteristics of a non-tracking small-amplitude signal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0046] Reference Figure 1 As shown, the adaptive azimuth updating method for radar signal sorting provided by an embodiment of the present invention comprises the following steps:

[0047] Step 1: The temporary result azimuth feature statistics module receives the interleaved PDW data stream measured by the receiver, separates the pulse sequences corresponding to each radar radiation source in turn through clustering and deinterleaving processing, performs parameter feature statistics of all pulses in a single frame of each radar pulse sequence and azimuth feature statistics of large-amplitude pulses, and outputs the temporary results of each signal single frame.

[0048] Step 2: The large amplitude signal identification judgment module receives the temporary results of each signal single frame from the temporary result orientation feature statistics module, finds the matching target table batch number through parameter fusion processing, and makes a large amplitude signal identification judgment based on the scanning type and target amplitude information.

[0049] Step 3, the adaptive azimuth update processing module adaptively updates the azimuth of the target table signal according to the large-amplitude signal identification judgment result for the three states of tracking signal, non-tracking large-amplitude signal, and non-tracking small-amplitude signal.

[0050] Optionally, in some possible implementations, step 1 specifically includes:

[0051] Step 1.1 Receive the i-th frame interleaved pulse description word (PDW) data stream measured by the receiver Where J represents the total number of full pulses in the i-th frame, represents the amplitude value of the jth pulse in the i-th frame, represents the azimuth value of the jth pulse in the i-th frame, Represents other parameter values ​​(carrier frequency, arrival time, pulse width, etc.) of the jth pulse in the i-th frame. Through clustering and deinterleaving, the pulse sequences corresponding to each radar radiation source are separated in turn. in K m represents the total number of single-frame pulses of the m-th radiation source in the i-th frame,

[0052] The interleaved PDW data stream of multiple frames is as follows: Figure 2 As shown in the figure, the PDW data stream includes range, amplitude, radio frequency, and pulse width. After multi-frame processing with 500ms as one frame, the radar radiation source pulses in each separated frame contain tracking signals such as Figure 3 As shown, non-tracking large signals such as Figure 4 As shown, non-tracking small signals such as Figure 5 shown.

[0053] Step 1.2 Calculate the parameter characteristic statistics of all pulses in a single frame in the pulse sequence of the same radiation source Among them, m∈[1,M], Indicates the single-frame carrier frequency, repetition rate, pulse width and other characteristic statistics of the m-th radiation source; Indicates the maximum single-frame amplitude of the mth radiation source; Represents the mean of all pulse positions in a single frame of the mth radiation source.

[0054] make for Figure 3 The corresponding target table batch number information, for Figure 4 The corresponding target table batch number information, for Figure 5 The corresponding target table batch number information. Figure 3 to Figure 5 The azimuth characteristic statistics of all pulses As shown in Table 1. Among them, Figures 3 to 5 (a) in the figure are all Doa feature statistics graphs; (b) are all DoaBig feature statistics graphs; each vertical column corresponds to the value of i from 1 to 6.

[0055] Table 1 Temporary results Azimuth characteristic statistics of all pulses

[0056]

[0057] Step 1.3 Calculate the azimuthal characteristic statistics of the large amplitude pulses in the pulse sequence of the same radiation source and effective identification of position

[0058] Step 1.3.1 Initialize the amplitude threshold thd Pa =10, minimum processing pulse number thd pn =5. If Pa m ≥thd Pa , proceed to step 1.3.2; otherwise, proceed to step 1.3.4.

[0059] Step 1.3.2 The current radiation source is a large amplitude signal, and the pulses with amplitudes greater than the amplitude threshold are extracted. in K' is the total number of pulses greater than the amplitude threshold.

[0060] Step 1.3.3 If the total number of pulses greater than the amplitude threshold K'≥thd pn ,but Go to step 1.4; otherwise, go to step 1.3.4.

[0061] Step 1.3.4 The current radiation source is a small amplitude signal, and the azimuth characteristic statistics of large amplitude pulses are not performed, that is, the azimuth is valid. Azimuth characteristic statistics of large amplitude pulses

[0062] Figure 3 to Figure 5 The azimuth characteristic statistics of the large amplitude pulse As shown in Table 2, the azimuth of the large-amplitude pulse is effectively marked. As shown in Table 3.

[0063] Table 2 Temporary results Statistics of azimuth characteristics of large amplitude pulses

[0064]

[0065] Table 3 Provisional results of effective identification of the position of large amplitude pulses

[0066]

[0067] Step 1.4 Output the temporary results of each radiation source single frame in

[0068]

[0069] Optionally, in some possible implementations, step 2 specifically includes:

[0070] Step 2.1 Before the current frame is processed, the target table batch number information list is in is the target parameter of the nth target, is the amplitude value of the nth target at time i-1, is the position value of the nth target at time i-1, are other parameter values ​​(carrier frequency, arrival time, pulse width, etc.) of the nth target at time i-1, is the scanning type of the nth target at time i-1 (tracking, scanning, unknown, etc.).

[0071] Step 2.2 receives the temporary result of each signal frame from the temporary result position feature statistics module, finds the matching target table batch number through parameter fusion processing, and sets and Match and update parameters

[0072] Step 2.3 If the scan type If it is tracking, go to step 2.4; otherwise, go to step 2.5.

[0073] Step 2.4 The current target is a tracking target, and large amplitude signal processing is not enabled, that is, large amplitude signal identification Go to step 3.

[0074] Step 2.5 The current target is not a tracking target. If Then turn on the large amplitude signal processing, that is, the large amplitude signal identification Otherwise, do not enable large amplitude signal processing, i.e. large amplitude signal identification

[0075] make for Figure 3 The corresponding target table batch number information, for Figure 4 The corresponding target table batch number information, for Figure 5 The corresponding target table batch number information. Figure 3 to Figure 5 Large amplitude signal marker As shown in Table 4.

[0076] Table 4 Target table large amplitude signal identification

[0077]

[0078] Optionally, in some possible implementations, step 3 specifically includes:

[0079] Step 3.1 traverses the target table. If the target batch number has no matching temporary result in the current frame, the position is not updated, that is, Proceed to step 3.6.

[0080] Step 3.2 If the large amplitude signal is marked is 0, execute step 3.3; if the large amplitude signal indicator If it is 1, go to step 3.4; otherwise, go to step 3.5.

[0081] Step 3.3 Tracking signal azimuth update processing, azimuth is directly updated, that is, Proceed to step 3.6.

[0082] Step 3.4 Non-tracking large amplitude signal azimuth update processing, the current target is not tracked and the large amplitude signal processing is currently turned on. If the azimuth of the temporary result is valid, If is 0, the position is not updated, that is If the position of the temporary result is valid, If is 1, the position is updated. Follow step 3.6. ;

[0083] Step 3.5 Non-tracking small amplitude signal azimuth update processing, the current is a non-tracking target and the large amplitude signal processing is not currently turned on. If the azimuth of the temporary result is valid, If is 0, If the position of the temporary result is valid, If is 1, the position is updated. Proceed to step 3.6.

[0084] Step 3.6 Output target batch number information

[0085] Figure 3 to Figure 5 The target table signal direction As shown in Table 5.

[0086] Table 5 Target table signal direction

[0087]

[0088]

[0089] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. An adaptive azimuth updating method for radar signal sorting, characterized in that: The method comprises: Step 1: The temporary result azimuth feature statistics module receives the interleaved PDW data stream measured by the receiver, separates the pulse sequences corresponding to each radar radiation source in turn through clustering and deinterleaving, performs parameter feature statistics of all pulses in a single frame of each radar pulse sequence and azimuth feature statistics of large-amplitude pulses, and outputs the temporary results of each signal single frame; Step 2: The large amplitude signal identification judgment module receives the temporary results of each signal single frame from the temporary result azimuth feature statistics module, finds the matching target table batch number through parameter fusion processing, and makes a large amplitude signal identification judgment based on the information of the scan type and target amplitude; Step 3, the adaptive azimuth update processing module adaptively updates the azimuth of the target table signal according to the large-amplitude signal identification judgment result for the three states of tracking signal, non-tracking large-amplitude signal, and non-tracking small-amplitude signal.

2. The adaptive azimuth updating method for radar signal sorting according to claim 1, characterized in that: Step 1: The temporary result azimuth feature statistics module receives the interleaved PDW data stream measured by the receiver, separates the pulse sequences corresponding to each radar radiation source in turn through clustering and deinterleaving, performs parameter feature statistics of all pulses in a single frame of each radar pulse sequence and azimuth feature statistics of large-amplitude pulses, and outputs the temporary results of each signal single frame, including: Step 101, receiving the i-th frame interleaved PDW data stream PDWi measured by the receiver, which is: Where J represents the total number of full pulses in the i-th frame, represents the amplitude value of the jth pulse in the i-th frame, represents the azimuth value of the jth pulse in the i-th frame, Other parameter values ​​representing the jth pulse in the i-th frame include carrier frequency, arrival time, and pulse width. Through clustering and deinterleaving, the pulse sequences corresponding to each radar radiation source are separated in turn. in K m represents the total number of single-frame pulses of the m-th radiation source in the i-th frame, Step 102, calculating the parameter characteristic statistics of all pulses in a single frame in the pulse sequence of the same radiation source Among them, m∈[1,M], Indicates the single frame carrier frequency, repetition rate, and pulse width of the mth radiation source; Indicates the maximum single-frame amplitude of the mth radiation source; Represents the mean of all pulse azimuths in a single frame of the mth radiation source; Step 103, calculating the azimuth characteristic statistics of the large amplitude pulses in the pulse sequence of the same radiation source and effective identification of position Step 104: Output the temporary results of each radiation source single frame in 3. The adaptive azimuth updating method for radar signal sorting according to claim 2, characterized in that: Step 103, calculating the azimuth characteristic statistics of the large amplitude pulses in the pulse sequence of the same radiation source and effective identification of position include: Step 1031, initializing the amplitude threshold thd P a, minimum processing pulse number thdpn; if Pa m ≥thd Pa , execute step 1032; otherwise, execute step 1034; Step 1032: if the current radiation source is a large amplitude signal, extract the pulses whose amplitude is greater than the amplitude threshold. in K' is the total number of pulses greater than the amplitude threshold; Step 1033: If the total number of pulses greater than the amplitude threshold K'≥thd pn ,but Execute step 104; otherwise, execute step 1034; Step 1034: The current radiation source is a small amplitude signal, and the azimuth is valid. Azimuth characteristic statistics of large amplitude pulses 4. The adaptive azimuth updating method for radar signal sorting according to claim 1, characterized in that: Step 2: The large amplitude signal identification judgment module receives the temporary results of each signal single frame from the temporary result azimuth feature statistics module, finds the matching target table batch number through parameter fusion processing, and makes a large amplitude signal identification judgment based on the information of the scan type and target amplitude; include: Step 201, set the target table batch number information list before the current frame processing to in is the target parameter of the nth target at time i-1, is the amplitude value of the nth target at time i-1, is the position value of the nth target at time i-1, are other parameter values ​​of the nth target at time i-1, including carrier frequency, repetition rate, and pulse width. is the scan type of the nth target at time i-1; the scan types include tracking and non-tracking; non-tracking includes scanning and unknown; Step 202, receiving the temporary result of each signal frame from the temporary result azimuth feature statistics module, performing parameter fusion processing by carrier frequency, repetition cycle, and pulse width, and finding the matching target table batch number, and then and Match and update parameters Step 203, if the scan type For tracking, execute step 204; otherwise, execute step 205; Step 204: The current target is a tracking target, and the large amplitude signal processing is not enabled, that is, the large amplitude signal identification Execute step 3; Step 205: The current target is a non-tracking target. Then turn on the large amplitude signal processing, that is, the large amplitude signal identification Otherwise, do not enable large amplitude signal processing, i.e. large amplitude signal identification 5. The adaptive azimuth updating method for radar signal sorting according to claim 1, characterized in that: Step 3, the adaptive azimuth update processing module performs adaptive update processing on the azimuth of the target table signal according to the large amplitude signal identification judgment result, for the three states of tracking signal, non-tracking large amplitude signal, and non-tracking small amplitude signal, including: Step 301, traverse the target table, if the target batch number has no matching temporary result in the current frame, the position is not updated, that is, Execute step 306; Step 302: If the large amplitude signal indicator is 0, execute step 303; if the large amplitude signal indicator If it is 1, execute step 304; otherwise, execute step 305; Step 303: Tracking signal azimuth update processing, azimuth direct update, that is, Execute step 306; Step 304: non-tracking large amplitude signal azimuth update processing. The current target is not being tracked and the large amplitude signal processing is currently turned on. If the azimuth of the temporary result is valid, If is 0, the position is not updated, that is If the position of the temporary result is valid, If is 1, the position is updated. Execute step 306; Step 305: non-tracking small amplitude signal azimuth update processing. The current target is not being tracked and the large amplitude signal processing is not currently enabled. If the azimuth of the temporary result is valid, If is 0, If the position of the temporary result is valid, is 1, then Execute step 306; Step 306: Output target batch number information

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