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Volume 43 Issue 4
Apr.  2021
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Yan ZUO, Taoran JIANG, Zhimeng CHEN, Dongliang PENG. BR/BRR Passive Localization and Registration for Multiple Moving Targets in Single-observer Multi-illuminator Radar Systems[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1162-1169. doi: 10.11999/JEIT200042
Citation: Yan ZUO, Taoran JIANG, Zhimeng CHEN, Dongliang PENG. BR/BRR Passive Localization and Registration for Multiple Moving Targets in Single-observer Multi-illuminator Radar Systems[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1162-1169. doi: 10.11999/JEIT200042

BR/BRR Passive Localization and Registration for Multiple Moving Targets in Single-observer Multi-illuminator Radar Systems

doi: 10.11999/JEIT200042
Funds:  The National Natural Science Foundation of China (61673146, 61771028, 61973102), Fund of Science and Technology on Electronic Information Control Laboratory (6142105200102)
  • Received Date: 2020-01-09
  • Rev Recd Date: 2020-10-21
  • Available Online: 2020-12-15
  • Publish Date: 2021-04-20
  • Single-observer Multi-illuminator radars localize multiple moving targets using multiple Bistatic Range (BR) and Bistatic Range Rate (BRR) measurements. However the existence of the biases would degrade the localization performance. A novel joint localization and registration based on iterative post-estimation Dependent Least Squares (DLS) is proposed. Firstly, a new jointed target parameters and biases estimation model is given by linearizing the BR and BRR measurement equation with auxiliary parameters. Then a DLS algorithm refines the target parameters by reusing the relationships between the target parameters and auxiliary parameters. An iterative post-estimate further refines the estimation accuracy and global coverage by biases registration. Finally its theoretical error and global convergence are obtained analytically. Simulation results show that the proposed algorithm has a good global convergence behavior and the performance can achieve the Cramer-Rao Lower Bound.
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