Resource Allocation Approach in Distributed MIMO Radar with Multiple Targets for Velocity Estimation

HU Hanying; SUN Yang; ZHENG Nae

doi:10.11999/JEIT151452

Volume 38 Issue 10

Oct. 2016

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HU Hanying, SUN Yang, ZHENG Nae. Resource Allocation Approach in Distributed MIMO Radar with Multiple Targets for Velocity Estimation[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2453-2460. doi: 10.11999/JEIT151452

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HU Hanying, SUN Yang, ZHENG Nae. Resource Allocation Approach in Distributed MIMO Radar with Multiple Targets for Velocity Estimation[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2453-2460. doi: 10.11999/JEIT151452

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Resource Allocation Approach in Distributed MIMO Radar with Multiple Targets for Velocity Estimation

doi: 10.11999/JEIT151452

Received Date: 2015-12-22
Rev Recd Date: 2016-05-10
Publish Date: 2016-10-19

Abstract

Abstract

In order to improve the velocity estimation accuracy for multiple targets in distributed MIMO radar, this paper analyses the influence of transmitted power and signal effective time width on the estimation accuracy, and a joint resource allocation algorithm is proposed. Firstly, a criterion minimizing the maximum Cramer Rao Lower Bound (CRLB) on the mean square error in multiple targets velocity estimation is derived, and the corresponding optimization model with transmitted power and signal effective time width is solved by SPCA (Sequential Parametric Convex Approximation) algorithm. Finally, simulations demonstrate that the velocity estimation accuracy is improved by the proposed algorithm. The results also reveal that signal effective time width has a greater impact on the velocity estimation accuracy than transmitted power.
- Distributed MIMO radar,
- Multiple targets velocity estimation,
- Power allocation,
- Signal effective time width allocation

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References(19)

References

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