New Algebraic Algorithm for Moving Target Localization in Distributed MIMO Radar Systems

doi:10.11999/JEIT170510

Volume 40 Issue 3

Mar. 2018

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New Algebraic Algorithm for Moving Target Localization in Distributed MIMO Radar Systems[J]. Journal of Electronics & Information Technology, 2018, 40(3): 548-556. doi: 10.11999/JEIT170510

Citation:

New Algebraic Algorithm for Moving Target Localization in Distributed MIMO Radar Systems[J]. Journal of Electronics & Information Technology, 2018, 40(3): 548-556. doi: 10.11999/JEIT170510

New Algebraic Algorithm for Moving Target Localization in Distributed MIMO Radar Systems[J]. Journal of Electronics & Information Technology, 2018, 40(3): 548-556. doi: 10.11999/JEIT170510

Citation:

New Algebraic Algorithm for Moving Target Localization in Distributed MIMO Radar Systems[J]. Journal of Electronics & Information Technology, 2018, 40(3): 548-556. doi: 10.11999/JEIT170510

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New Algebraic Algorithm for Moving Target Localization in Distributed MIMO Radar Systems

doi: 10.11999/JEIT170510

Funds:

The National Natural Science Foundation of China (61401469, 61501513)

Received Date: 2017-05-26
Rev Recd Date: 2017-11-07
Publish Date: 2018-03-19

Abstract

Abstract

To solve the moving target localization problem in distributed MIMO radar systems, with the Bistatic Range (BR) and Bistatic Range Rate (BRR) used as the measurements, an algebraic algorithm based on multi- stage Weighted Least Squares (WLS) is proposed. The proposed algorithm needs three WLS stages. In the first WLS stage, by introducing proper additional parameters, the BR and BRR measurement equations are linearized, and weighted least square estimator is used to produce a rough estimate of target position and velocity. Then in the latter two WLS stages, the relation between the target location parameters and additional parameters is utilized to refine the estimate. Finally, the theoretical error of the proposed algorithm is derived, and it is proved that the theoretical error attains the Cramer-Rao Lower Bound. Simulation results indicate that the proposed algorithm achieves a significant performance improvement over the existing algorithms.
- MIMO radar,
- Bistatic Range (BR),
- Bistatic Range Rate (BRR),
- Weighted Least Squares (WLS)

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References(28)

References

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