Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (8): 1695-1702.doi: 10.3969/j.issn.1001-506X.2020.08.08

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Unbiased converted tracking method of radar seeker with velocity information

Zhida WANG1(), Lin XUE2(), Yangyang CHEN1(), Jianguo LI1()   

  1. 1. Beijing Institute of Electronic System Engineering, Beijing 100854, China
    2. Defense Technology Academy of China Aerospace Science and Industry Corporation, Beijing 100854, China
  • Received:2019-10-22 Online:2020-08-01 Published:2020-07-27
  • Supported by:
    国家重点基础研究发展计划(973计划)(613276)

Abstract:

For the advanced surface-to-air missile, the accurate information of missile-target encounter is required. Based on the adaptive Kalman filter algorithm, an unbiased converted tracking method of radar seeker with velocity information is proposed. According to the current statistical model, the current acceleration is estimated by recursive least square algorithm with forgetting factor, and the state equation is obtained. By analyzing the unbiased conversion relations of position and velocity information from polar coordinates to Cartesian coordinates, the true unbiased converted measurement covariance and its estimation using measurements are deduced. And the measurement equation is acquired. With the state and error estimation result of filter, the estimation algorithm of the true unbiased converted measurement covariance is improved. The simulation results prove the good performance of the tracking method in both filtering accuracy and tracking speed.

Key words: radar seeker, target tracking, adaptive Kalman filter, unbiased converted measurement, velocity information

CLC Number: 

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