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An approach to power allocation in MIMO radar with sparse modeling for coherence minimization

机译:稀疏建模的MIMO雷达功率分配方法用于相干最小化

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In this paper, we aim at improving the estimation performance of the direction of arrival (DOA) in a colocated MIMO radar through power allocation under the sparsity constraints. Specifically, by considering the sparse recovery techniques, we try to minimize the coherence of associated sensing matrix by optimally distributing the power among transmit antennas. To determine the optimal power distribution, we reformulate the coherence minimization problem and derive a convex optimization constrained by the total power budget. This helps us to efficiently evaluate and simulate the optimal power distribution policy. Simulation results confirm superiority of the proposed method compared to the existing techniques.
机译:在本文中,我们旨在通过稀疏约束下的功率分配来提高共置MIMO雷达中到达方向(DOA)的估计性能。具体而言,通过考虑稀疏恢复技术,我们尝试通过在发射天线之间最佳地分配功率来最小化关联的感测矩阵的相干性。为了确定最佳功率分配,我们重新设计了相干最小化问题,并得出了受总功率预算约束的凸优化。这有助于我们有效地评估和模拟最佳的配电策略。仿真结果证实了该方法与现有技术相比的优越性。

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