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A Method of Applying Information Fusion to Radar Signal Sorting

A radar signal sorting and fusion application technology, applied to radio wave measurement systems, instruments, etc., can solve the problems of radar signal sorting difficulty, lack of some characteristic parameters, uncertainty, etc.

Active Publication Date: 2020-12-04
HARBIN ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Modern radar has multi-mode and concealment. A radar often has multiple working modes to achieve different functions. Part of the characteristic parameters obtained by the reconnaissance receiving equipment are missing, with incomplete and uncertain characteristics, which brings great difficulty to radar signal sorting

Method used

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  • A Method of Applying Information Fusion to Radar Signal Sorting
  • A Method of Applying Information Fusion to Radar Signal Sorting
  • A Method of Applying Information Fusion to Radar Signal Sorting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0103] Embodiment 1: Assume that there are two reconnaissance equipment receivers working at the same time, and the information obtained by each reconnaissance receiving equipment is different from each other. The PDW received by the receiver is fused through a data-level fusion algorithm to form a new PDW. PDW were sorted by conventional SDIF method. The simulation constructs a pulse description word for the mixture of two conventional radar signals, and its parameters are shown in Table 1 below.

[0104] Table 1 Radar simulation parameter settings

[0105]

[0106]

[0107] Under the condition that the pulse deletion rate was 50%, the sorting results of the missing signal and the fusion signal were compared, as shown in Table 2.

[0108] Table 2 Sorting results before and after data level fusion

[0109]

[0110] It can be seen from Table 2 that if there is a lack of received signals, as shown in the first and second signals in the table, radars with PRI parameter...

Embodiment 2

[0111] Embodiment 2: Test the influence of signal capture loss rate on signal sorting. Using the simulation parameters in Table 1, the conventional radar signals under different loss rates and the signals after data-level fusion are conventionally sorted. For single-channel signals with missing pulses and the sorting results after data-level fusion are as follows: Figure 5 and Image 6 shown.

[0112] from Figure 5 It can be seen that when the pulse loss rate is between 10% and 45%, the two lost signals can be successfully sorted to the two radars; when the pulse loss rate reaches 50%, the lost two signals Only conventional radars with a PRI parameter of 500us can be correctly sorted, but radars with a PRI parameter of 400us cannot be correctly sorted. from Image 6 It can be seen that after data-level fusion, the sorting can still be successful when the pulse loss rate reaches 60%, which verifies the effectiveness of the radar signal data-level fusion algorithm in impr...

Embodiment 3

[0113] Embodiment 3: Testing the fusion effect of feature-level sorting results. The simulation first sorts the PDW data packets reported by a reconnaissance receiver after five consecutive observations, and the sorting results are shown in Table 3. The sorting data in the simulation is the measured data, and the sorting algorithm still adopts the SDIF method.

[0114] Table 3 Sorting results under multiple observations

[0115]

[0116] The multiple sorting results obtained in Table 3 are fused at the feature level, and the results are shown in Table 4. It can be seen that although in the observation time period with time number 1, the 76 pulses detected by the receiver describe PRI=1.9613ms, the pulse number of this radar is only 22, even in the observation time period with time number 5 The lower receiver did not detect the pulse signal describing this radar, but after multiple observations and sorting accumulation, we can rule out the possibility of sorting failure an...

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Abstract

The invention discloses a method for applying information fusion to radar signal sorting and belongs to the radar signal processing field. The method is characterized by carrying out data level fusionon pulse description words (PDW) before radar signal sorting, and carrying out feature level fusion on sorting results after sorting, wherein in the data level fusion, providing a time alignment method based on first-level pulse time-of-arrival (TOA) difference matching, and carrying out correlation judgment on pulses arriving at the same time through a D-S evidence theory to obtain new PDW; andin the feature level fusion, unifying parameters describing the same radar and carrying out reliability ranking on the sorting results. The method solves the problems of possible sorting failure due to received pulse loss of a single reception device, and not exactly same describing parameters of the same radar after sorting; and simulation results show that, through the data level fusion, successrate of radar signal sorting can be improved effectively, and through application of the feature level fusion, more concise and visual radiation source information can be obtained.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and in particular relates to a method for applying information fusion to radar signal sorting. Background technique [0002] With the development of science and technology, the electromagnetic signal environment in the modern battlefield is becoming more and more complex, the density of radiation sources has doubled, and the electromagnetic signal patterns are becoming more complex and changeable. Modern radar has multi-mode and concealment. A radar often has multiple working modes to achieve different functions. Part of the characteristic parameters obtained by the reconnaissance receiving equipment are missing, and have incomplete and uncertain characteristics, which brings great difficulty to radar signal sorting. Considering that the information of each reconnaissance receiving device is complementary within a certain period of observation time, the pulse description word (PDW) receive...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/28
CPCG01S7/28
Inventor 郭立民张艳苹陈涛
Owner HARBIN ENG UNIV
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