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Volume 44 Issue 4
Apr.  2022
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DING Yipeng, LIU Runjin. A Target Location Algorithm for Through-wall Radar Based on Improved Viterbi Frequency Estimation Technology[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1203-1211. doi: 10.11999/JEIT211052
Citation: DING Yipeng, LIU Runjin. A Target Location Algorithm for Through-wall Radar Based on Improved Viterbi Frequency Estimation Technology[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1203-1211. doi: 10.11999/JEIT211052

A Target Location Algorithm for Through-wall Radar Based on Improved Viterbi Frequency Estimation Technology

doi: 10.11999/JEIT211052
Funds:  The National Natural Science Foundation of China (61501525), The Special Foundation of Innovative Province Construction of Hunan (2020RC3004)
  • Received Date: 2021-09-28
  • Accepted Date: 2022-01-20
  • Rev Recd Date: 2022-01-16
  • Available Online: 2022-02-24
  • Publish Date: 2022-04-18
  • Considering the problem of target signal identification in frequency ambiguity region of Doppler through wall radar, and the path bifurcation problem of traditional Viterbi algorithm in instantaneous frequency estimation, a target location algorithm based on improved Viterbi frequency estimation technology is proposed. According to the local characteristics of radar echo, the smoothing coefficient of exponential smoothing method is dynamically adjusted, and a new penalty function based on dynamic exponential smoothing prediction is defined. The echo signal is demodulated by the estimated target frequency curve to separate multiple target components, and the target motion trajectory is synthesized by combining Doppler processing to realize real-time target positioning. The experimental results show that the path bifurcation problem in frequency ambiguity region is effectively suppressed by this method, and this method has advantages in the application scene of multi-body target tracking and location. In addition, the employed dynamic search method enhances upon traditional whole-plane search and improves the efficiency of searching the optimal paths considerably.
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