CN110780275B - Method for removing batch increase by signal sorting - Google Patents

Abstract

The invention discloses a method for sorting, removing and increasing batches of signals by adopting a T-Az grid, which comprises the following steps: s1, sorting the original pulse description word set to obtain a sorting result; s2, extracting a suspected batching signal from the sorting result; s3, extracting related signal pulses from the batch signal; s4, processing the related signal pulse by adopting a T-Az Grid to obtain Grid _ TAz, segmenting the related signal pulse sequence, and acquiring the value of a sequence flag3 according to the sequence segmentation; s5, extracting pulses in Grid _ TAz; s6, evaluating the extracted pulse, counting the proportion of the quantity of the staggered points in the total number, and returning to the step S2 if the quantity of the staggered points exceeds the threshold value; if the threshold is not exceeded, the flow ends. The method has the advantages of good batch removal and increase accuracy, low calculation complexity, capability of quickly removing and increasing the batch of signals with errors in pulse parameter measurement, and capability of being applied to a real-time sorting system.

Description

Method for removing batch increase by signal sorting

Technical Field

The invention belongs to the technical field of radar signal processing, and particularly relates to a method for removing batch increase by signal sorting.

Background

As an important technology in the field of electronic warfare, radar signal sorting is a key component of ESM (electronic support measures) and ELINT (electronic intelligence). The traditional signal sorting algorithm based on the complex electromagnetic environment starts in the 70 th 20 th century, and mainly comprises a nearest neighbor sorter, a parameter range matching method and a statistical evaluation technology, and the Gogers in the 80 th 20 th century provides a high-density real-time signal based on the complex signal environment with more modern significance, so that the difficulty is enhanced, but the method has more practical significance. After that, CDIF (cumulative difference histogram method) and SDIF (sequential difference histogram method) were proposed in succession, which are improvements of histogram statistics, and are algorithms for implementing pulse de-interlacing based on TOA (pulse arrival time) to calculate pulse repetition period.

In the face of increasingly severe high-density complex electromagnetic environment, pulse sequences are subjected to de-interleaving to generate a lot of batches, and if the batches cannot be eliminated, a lot of false targets are generated, so that the capacity of removing the batches becomes an important index for judging whether the signal sorting effectiveness is suitable for the modern electronic warfare environment.

In the signal sorting process, the increase is an unavoidable problem, and the increase has many reasons: due to errors caused by noise during receiving, errors such as direction finding and frequency measuring, and the like, the same other signals with the same characteristics appear in different directions, and the occurrence of the increase of the number of the signals is caused. The processing of the added batches in the signal sorting process affects the accuracy of the final result. The traditional method for removing the batch mainly adopts the azimuth as the most main index, can eliminate a considerable part of batch, but has the defect that the batch can be increased when the azimuth measurement has errors.

Disclosure of Invention

The invention provides a novel method for removing the added batch, which can eliminate the added batch when the pulse orientation parameter measurement has errors and improve the accuracy of a sorting result.

Specifically, the invention provides a method for removing the added batch by signal sorting, which is characterized by comprising the following steps of:

step S1, describing word set PDW by original pulse_s0Sorting by adopting a CDIF method and using the direction DOA as a main parameter to obtain a sorting result EDW_s0；

Step S2, from the sorting result EDW_s0Extracting suspected batch increase signal EDW_s1；

Step S3, the EDW signal is added_s1Extracting relevant PDW_s1A signal pulse;

step S4, processing the PDW by adopting T-Az (time domain-orientation) grid_s1Signal pulse acquisitionGenerating a time domain orientation Grid _ TAz to enable the PDW_s1Segmenting a signal pulse sequence, and acquiring a value of a sequence flag3 according to the sequence segmentation;

step S5, extracting pulse PDW in the generated time domain orientation Grid chart Grid _ TAz_s2；

Step S6, for the pulse PDW_s2Evaluating, counting the proportion of the number of the staggered points in the total number, and returning to the step S2 if the number exceeds the threshold value; if the threshold is not exceeded, the flow ends.

Further, in step S2, the sorting result EDW_s0In the case of multiple EDWs with different parameters approaching different orientations_s0Information can be regarded as the occurrence of a suspected increased batch signal.

Further, in step S4, the T-Az (time domain-azimuth) grid uses the pulse azimuth parameters as columns and uses 2 times the pulse repetition interval PRI as rows to combine the PDW with the pulse azimuth parameters as columns_s1The signal pulses are segmented.

Further, in step S4, the time-domain orientation Grid _ TAz is mapped to the PDW_s1Two pulses in each segment in the signal pulse sequence are counted, and the value of the number of the pulses on the two recording orientation parameters DOA1 and DOA2 of the ith segment is respectively flag1_iAnd flag2_iFrom flag1_iAnd flag2_iThe middle element generates the sequences flag1 and flag2 respectively, wherein

flag3_iThe middle element generation sequence is the sequence flag 3.

Further, in step S5, the pulse PDW_s2Pulses comprising staggered points in the time-domain orientation Grid map Grid _ TAz;

the interleaving point is a point of the sequence flag3 where the element value is 2.

Further, in step S6, the threshold is 0.5.

It should be noted that the original pulse description word set PDW in the present invention_s0The signal is intercepted by the receiver, and PDW represents the pulse description word and DOA represents the direction.

The invention has the beneficial effects that:

the invention provides a T-Az (time domain-orientation) grid method for detecting whether the batch signals exist or not and carrying out batch removal and processing of signal sorting, compared with the prior art, the algorithm in the invention can accurately detect the batch signals existing under the condition that the orientation measurement has larger errors; meanwhile, the method has the advantages of small calculation amount, capability of processing data in real time to complete detection of batch increase signals, and capability of quickly and accurately completing batch increase removal processing of signal sorting.

Drawings

FIG. 1 is a schematic diagram of a method for sorting out de-batching signals according to an embodiment of the present invention;

fig. 2 is a schematic diagram of a T-Az grid in a method for removing signal sorting de-batching according to an embodiment of the present invention.

Detailed Description

The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings 1-2.

As shown in fig. 1, a method for sorting out signal to remove the increase batch comprises the following steps:

step S1, describing word set PDW by original pulse_s0Sorting by adopting a CDIF method and using the direction DOA as a main parameter to obtain a sorting result EDW_s0；

Step S2, from the sorting result EDW_s0Extracting suspected batch increase signal EDW_s1；

Step S3, adding the batch signal EDW_s1Extracting relevant PDW_s1A signal pulse;

step S4, adopting T-Az (time domain-orientation) grid to process PDW_s1Obtaining a Grid _ TAz of a generated time domain azimuth Grid graph to ensure that the PDW_s1Sequence segmentation, according to which the value of the sequence flag3 is obtained;

step S5, extracting pulse PDW in the Grid _ TAz of the time domain orientation Grid map_s2；

Step S6, for pulse PDW_s2Evaluating, counting the proportion of the number of the staggered points in the total number, and returning to the step S2 if the number exceeds the threshold value; if the threshold value is not exceededThe flow ends.

Specifically, in step S1, the word set PDW is described by the original pulse_s0Sorting by adopting a CDIF method and using the direction DOA as a main parameter to obtain a sorting result EDW_s0. Such as describing the original pulse into a set of words PDW_s0The sorting results were divided into 10 different fractions.

In step S2, EDW is selected from the sorting results_s0In the case of multiple EDWs with different parameters approaching different orientations_s0The information can be regarded as that the suspected batch signal EDW appears in the result, and the suspected batch signal EDW is extracted_s1。

In step S3, the signal EDW is increased_s1Method for extracting PDW (product data set) through correlation by adopting parameter filtering and time domain correlation_s1Signal pulses, i.e. from the increase-batch signal EDW_s1Middle and reverse extraction of relevant PDW_s1Pulse (i.e. from PDW)_s0Middle extraction meets EDW_s1Pulse of medium parameters), associated PDW_s1The pulses being a set of original pulse description words PDW_s0Including the portion of the pulse signal that is suspected of being an augmented batch signal.

In step S4, the PDW is detected_s1The signal pulse has N pulses, except the direction, other parameters have the characteristics of the same signal, namely the frequency parameter is unchanged or changed according to a certain rule, and the pulse repetition interval is unchanged or changed regularly. The partial pulse orientation parameter is DOA1 and the remaining pulse orientation parameter is DOA 2. PDW processing using T-Az (time-orientation) grids_s1The signal pulses are arranged in rows of pulse azimuth parameters at 2 times pulse repetition intervals PRI, and a time-domain azimuth Grid pattern Grid _ TAz is generated.

T-Az grid to PDW_s1The signal pulse sequence is divided into a plurality of segments on the time axis, each segment has two pulses, and the two pulses in the ith segment are denoted as L'_i1And L'_i2(ii) a For PDW_s1Counting two pulses in each segment in the signal pulse sequence, and recording the value of the number of the pulses with the azimuth parameters of DOA1 and DOA2 as flag1_iAnd flag2_iFrom flag1_iAnd flag2_iThe middle elements respectively generate sequences of flag1 and flag 2; and order

flag3_iThe middle element generation sequence is flag 3.

In step S5, if the value of an element in the sequence flag3 is 2, the element is marked as an interlaced point, and if the value is 1, the element is marked as a non-interlaced point; extracting the pulse of the staggered point in the Grid _ TAz of the time domain orientation Grid graph as PDW_s2。

In step S6, the PDW is processed_s2And evaluating to determine whether the batch-removing process needs to be continued. Counting the proportion of the number of the staggered points in the total number, setting a threshold value to be 0.5, if the proportion of the number of the staggered points exceeds the threshold value, indicating that the signal exists, not a measurement error, and returning to the step S2; if the ratio of the number of the statistical staggered points does not exceed the threshold value, that only a few staggered points exist is caused by parameter measurement errors, and the process can be ended.

As shown in FIG. 2, in one embodiment, step S4 is performed by obtaining the PDW_s1The signal is processed through a T-Az (time domain-orientation) Grid to generate Grid _ TAz. Wherein, the elements in the flag1 are 2, 1, 0, 0, 2 and 2 in sequence; the elements in the flag2 are 0, 1, 2, 2, 0 and 0 in sequence; according to

In principle, the elements in flag3 are 1, 2, 1, 1, 1, 1 in sequence.

And counting the proportion of the quantity of the staggered points in the total number, wherein the proportion does not exceed the threshold value, and ending the process.

Although the present invention has been described in terms of the preferred embodiment, it is not intended that the invention be limited to the embodiment. Any equivalent changes or modifications made without departing from the spirit and scope of the present invention also belong to the protection scope of the present invention. The scope of the invention should therefore be determined with reference to the appended claims.

Claims (4)

1. A method of signal sorting to remove upscaling, the method comprising the steps of:

step S1, describing word set PDW by original pulse_s0By CDIThe method F uses the orientation DOA as the main parameter to sort and obtain the sorting result EDW_s0；

Step S2, from the sorting result EDW_s0Extracting suspected batch increase signal EDW_s1；

Step S3, the EDW signal is added_s1Extracting relevant PDW_s1A signal pulse;

step S4, processing the PDW by adopting T-Az (time domain-orientation) grid_s1Generating a time domain azimuth Grid-TAz by the signal pulse to ensure that the PDW_s1Segmenting a signal pulse sequence, and acquiring a value of a sequence flag3 according to the sequence segmentation;

step S5, extracting pulse PDW in the generated time domain orientation Grid chart Grid _ TAz_s2；

Step S6, for the pulse PDW_s2Evaluating, counting the proportion of the number of the staggered points in the total number, and returning to the step S2 if the number exceeds the threshold value; if the threshold value is not exceeded, the flow is ended;

in step S4, the T-Az (time domain-azimuth) grid uses pulse azimuth parameters as columns and uses 2 times pulse repetition interval PRI as rows to divide the PDW into a plurality of groups_s1Signal pulse segmentation;

the time-domain orientation Grid map Grid _ TAz is used for the PDW_s1Two pulses in each segment in the signal pulse sequence are counted, and the value of the number of the pulses on the two recording orientation parameters DOA1 and DOA2 of the ith segment is respectively flag1_iAnd flag2_iFrom flag1_iAnd flag2_iThe middle element generates the sequences flag1 and flag2 respectively, wherein

flag3_iThe middle element generation sequence is the sequence flag 3.

2. The method for removing the augmentations as claimed in claim 1, wherein, in step S2, the sorting result EDW_s0In the case of multiple EDWs with similar parameters and different orientations_s0Information can be regarded as the occurrence of a suspected increased batch signal.

3. The method for removing the accretions as in claim 1, wherein in step S5, said pulse PDW_s2Pulses comprising staggered points in the generated time-domain orientation Grid map Grid _ TAz;

the interleaving point is a point of the sequence flag3 where the element value is 2.

4. The method for removing the accretions as in claim 1, wherein in step S6, the threshold value is 0.5.

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