Sparse moving target detection method based on slow time sliding window filter

A moving target detection and filter technology, applied to radio wave measurement systems, radio wave reflection/reradiation, instruments, etc., can solve the problems of Doppler filter response periodic fluctuations, affecting target detection performance, etc., to achieve Effect of Doppler Frequency Response Performance Improvement

Active Publication Date: 2020-07-10
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0002] In the sparse target detection scenario, the non-uniform PRI sequence has excellent electronic countermeasures performance based on the asymmetry of information, and the Doppler filter NUDFT and NUFFT for the...

Method used

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  • Sparse moving target detection method based on slow time sliding window filter
  • Sparse moving target detection method based on slow time sliding window filter
  • Sparse moving target detection method based on slow time sliding window filter

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Embodiment

[0040] 1. Secondary modulation pulse repetition interval sequence

[0041] The traditional pulse group transmission signal is expressed as:

[0042]

[0043] Where n is the pulse number, which can be assumed to be 0, Ti(i=1,...,N-1) represents the pulse interval between the ith and (i+1)th pulses, T p is the pulse width, u(t) is the baseband equivalent representation of the pulse signal, rect( ) is a rectangular window function, and T is defined as a fixed PRI constant, when T i =T, (i=1,...,N-1), the signal model is reduced to a uniform PRI case; for i≠j, i, j∈[1,...,N-1], when T i ≠T j The signal model is the non-uniform PRI case.

[0044] Because of its time-frequency linear relationship, time and phase are quadratic, the linear frequency modulation signal LFM has excellent Doppler tolerance characteristics. Using this characteristic, it is applied to the slow time dimension, such as figure 1 As shown, the figure shows that the linear Doppler phase is sampled at inte...

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Abstract

The invention provides a sparse moving target detection method based on a slow time sliding window filter. The method belongs to the field of radar moving target detection methods, and comprises the following steps: designing a pulse repetition interval sequence optimization problem with optimal regional Doppler tolerance accumulation as a criterion based on a generalized fuzzy function, and obtaining an optimal solution through problem conversion and a gold region search method. The invention aims to provide a brand-new radar moving target detection method in a sparse target environment. A concept of a generalized fuzzy function is introduced, and a secondary modulation pulse repetition interval sequence and a corresponding slow time matching filter are designed, so that a moving target detection processing flow is simplified, and meanwhile, the sparse moving target detection capability of a given Doppler range is enhanced.

Description

technical field [0001] The invention relates to the field of radar moving target detection methods, in particular to a sparse moving target detection method based on a slow time sliding window filter. Background technique [0002] In the sparse target detection scenario, the non-uniform PRI sequence has excellent electronic countermeasures performance based on the asymmetry of information, and the Doppler filter NUDFT and NUFFT for the target echo detection of the non-uniform PRI sequence have Doppler filtering The problem of periodic fluctuations in sensor response affects the target detection performance within a given Doppler range to a certain extent. Contents of the invention [0003] The purpose of the present invention is to provide a new radar moving target detection method in a sparse target environment, introduce the concept of generalized ambiguity function, and simplify the dynamic Target detection processing flow, while enhancing the ability to detect sparse ...

Claims

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Application Information

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IPC IPC(8): G01S13/50G01S7/292G01S7/36G01S7/41
CPCG01S13/50G01S7/292G01S7/418G01S7/36
Inventor 龚勋赵绪杨子奇邹海鹏
Owner SOUTHWEST JIAOTONG UNIV
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