多目標(biāo)速度估計的分布式MIMO雷達資源分配算法

胡捍英; 孫揚; 鄭娜娥

doi:10.11999/JEIT151452

多目標(biāo)速度估計的分布式MIMO雷達資源分配算法

doi: 10.11999/JEIT151452

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出版歷程
- 收稿日期: 2015-12-22
- 修回日期: 2016-05-10
- 刊出日期: 2016-10-19

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

摘要

摘要: 為了提高分布式MIMO雷達的多目標(biāo)速度估計精度，該文分析了發(fā)射功率和信號有效時寬對估計精度的影響，進而提出一種將兩者聯(lián)合優(yōu)化的資源分配算法。首先，以最小化目標(biāo)速度估計的克拉美羅界(CRLB)最大值為目標(biāo)函數(shù)，建立了包含發(fā)射功率和信號有效時寬兩個優(yōu)化變量的優(yōu)化模型，然后采用連續(xù)參數(shù)凸估計(Sequential Parametric Convex Approximation, SPCA)算法對這個非凸的優(yōu)化模型進行求解。最后，仿真結(jié)果表明利用所提算法進行資源分配能明顯提高目標(biāo)速度的估計精度。此外，仿真結(jié)果表明信號有效時寬對目標(biāo)速度估計精度的影響大于發(fā)射功率。
- 分布式MIMO雷達 /
- 多目標(biāo)速度估計 /
- 功率分配 /
- 信號有效時寬分配
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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參考文獻(19)

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