Journal of Xidian University

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Fusion method based on multilevel quantization in multistatic radar

CAO Ding1,2;ZHOU Shenghua1,2;LIU Hongwei1,2;SHAO Zhiqiang1,2   

  1. (1. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China;
    2. Collaborative Innovation Center of Information Sensing and Understanding, Xidian Univ., Xi'an 710071, China)
  • Received:2017-11-19 Online:2018-10-20 Published:2018-09-25

Abstract:

In multistatic radar, a confidence region-based least square quantizer is proposed to satisfy the communication constraints. The “non-confidence region” is a continuous interval in the decision space of the generalized likelihood ratio of raw observations, while the rest part is called the “confidence region”. The “non-confidence region” is partitioned through the least square quantizer according to the communication bandwidth. The outputs of the local quantizers, also termed quantization levels, are regarded as the local decisions to be transmitted to the fusion center, where a non-coherent integrator is utilized for further global decision making. Global probability of false alarm and probability of detection are derived through the probability mass functions of the quantization levels. Simulation results indicate that the detection performance with 3bit quantization can approach that of the distributed generalized likelihood ratio.

Key words: multistatic radars, multilevel quantizer, generalized likelihood ratio