提高MIMO雷达检测和参数估计性能的波形设计

发布时间：2018-07-01 15:33

本文选题：多输入多输出雷达 + 波形优化　；参考：《系统工程与电子技术》2014年08期

【摘要】：针对目前多输入多输出(multiple-input multiple-output,MIMO)雷达中通常基于某一种而不是整体性能的波形优化问题,提出一种提高MIMO雷达检测和参数估计性能的波形优化方法。该方法基于提高检测概率、降低参数估计方差及抑制旁瓣3种性能约束优化发射波形相关矩阵(waveform covariance matrix,WCM)。首先推导了检测概率及克拉美-罗界(Cramer-Rao bound,CRB)的等价表达式,而后联合最大化主旁瓣差约束,并对各约束条件加权,从而得到可灵活调整加权系数以满足实际应用中不同需要的波形优化问题。此波形优化问题可表示为线性规划问题,因而可高效求解。仿真实验对3种约束条件对雷达性能的影响进行了详细分析,实验结果验证了所提方法的有效性。
[Abstract]:Aiming at the waveform optimization problem of multiple-input multiple-output radar, which is usually based on one kind of radar performance rather than the whole performance, a waveform optimization method is proposed to improve the detection and parameter estimation performance of MIMO radar. This method is based on improving the detection probability, reducing the variance of parameter estimation and suppressing the sidelobe three kinds of performance constraints to optimize the transmit waveform correlation matrix (waveform covariance matrixWCM). First, the detection probability and the equivalent expression of Cramer-Rao bound CRB are derived, then the main sidelobe difference constraints are jointly maximized, and each constraint condition is weighted. Thus, the waveform optimization problem which can flexibly adjust the weighting coefficient to meet the different needs in practical applications is obtained. The waveform optimization problem can be expressed as a linear programming problem, so it can be solved efficiently. The effects of three constraints on radar performance are analyzed in detail by simulation experiments, and the effectiveness of the proposed method is verified by the experimental results.
【作者单位】：西安电子科技大学雷达信号处理国家重点实验室;南昌航空大学信息工程学院;
【基金】：国家重点基础研究发展计划(973计划)(2011CB707001) 国家自然科学基金青年科学基金(61101242) 江西省教育厅科技计划项目(GJJ14544) 中央高校基本科研业务费专项资金(K50511020009) 南昌航空大学教改课题(JY1033)资助课题
【分类号】：TN958

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