基于稀疏FrFT的窄带雷达目标架次识别方法

doi:10.12305/j.issn.1001-506X.2021.08.14

Abstract

Abstract:

The sortie identification is of great significance for the detection and identification of narrow-band radar formation targets. Based on the minimum entropy criterion, an optimal transform order estimation algorithm of fractional Fourier transform (FrFT) is proposed in this paper. Firstly, the entropy of the FrFT result of radar echo data is modeled as a function of the transform order. Furthermore, the transformation order estimation problem is transformed into a sparse optimization problem, and the sparse reconstruction algorithm is used to obtain the optimal transformation order. Finally, the algorithm is applied to analyze the Doppler frequency characteristics of narrow-band radar multi-wave gate echo data, and obtain the sortie information of formation target. The results of simulation and measured data show that the proposed method avoids brute force search and can quickly obtain the optimal FrFT transform order. The algorithm can be used to accurately identify formation target sortie information when applied to narrow-band radar echo signal processing.

Key words: fractional Fourier transform (FrFT), minimum entropy, sparse optimization, narrow-band radar, sortie identification

CLC Number:

TN957.51

Yichang CHEN, Xin XIONG, Wantian WANG. Target sortie identification method of narrow-band radar based on sparse fractional Fourier transform[J]. Systems Engineering and Electronics, 2021, 43(8): 2129-2136.

Figures/Tables 11

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Target sortie identification method of narrow-band radar based on sparse fractional Fourier transform

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