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Iterative Target Localization in Distributed MIMO Radar From Bistatic Range Measurements

机译:基于双站距离测量的分布式MIMO雷达中的迭代目标定位

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This letter discusses the problem of determining the target position from bistatic range measurements in a multiple-input multiple-output radar system with widely separated antennas. By introducing nuisance parameters and taking the relationship between these parameters and the unknown target position into consideration, the problem is formulated as a constrained weighted least squares (CWLS) problem, which is a quadratically constrained quadratic programming problem. Since the constraints are nonconvex, finding the global solution is a difficult task. To solve this problem, an iterative CWLS method is developed in this letter. We iteratively approximate each nonconvex constraint as a linear constraint to convert the problem as a linearly constrained quadratic programming problem and then solve the problem. Numerical simulations are included to support and corroborate the theoretical developments.
机译:这封信讨论了在天线分开的多输入多输出雷达系统中,根据双基地测距测量确定目标位置的问题。通过引入讨厌的参数并考虑这些参数与未知目标位置之间的关系,将该问题表述为约束加权最小二乘(CWLS)问题,它是一个二次约束二次规划问题。由于约束是非凸的,因此找到全局解决方案是一项艰巨的任务。为了解决这个问题,本文开发了一种迭代的CWLS方法。我们将每个非凸约束迭代地近似为线性约束,以将问题转换为线性约束二次规划问题,然后求解该问题。包括数值模拟以支持和证实理论发展。

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