Miss Distance Estimation Based on Scattering Center Model Using Time-Frequency Analysis

Kun Yi Guo, Quan You Qu, Ai Xi Feng, Xin Qing Sheng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

In the traditional miss distance (MD) estimation, Doppler frequencies of radar echoes are used to estimate MD by curve fitting, which is based on the signal model of a single scattering center. Actually, scattering responses of an extended object are contributed by a series of scattering centers. Moreover, the attributes (i.e., amplitudes and locations) of scattering centers of different types change with the aspect angles of the measuring radar. The multiple scattering centers and their different attributes make the characteristics of Doppler frequencies quite complex, and subject the traditional MD estimation method to serious error. To tackle this problem, a parametric scattering center model is built to precisely characterize different types of scattering centers, and the primary characteristics of Doppler frequencies corresponding to various scattering centers shown in time-frequency representation (TFR) are used to estimate MD by image fitting. The performance of this method has been validated, and results show that this method is of high accuracy even in low signal-to-noise ratio (SNR).

Original languageEnglish
Article number7296594
Pages (from-to)1012-1015
Number of pages4
JournalIEEE Antennas and Wireless Propagation Letters
Volume15
DOIs
Publication statusPublished - 2016

Keywords

  • Genetic algorithm
  • miss distance estimation
  • scattering center model
  • time-frequency analysis

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