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Widely-linear processing for distributed passive radar systems with strictly non-circular sources

机译:具有严格非圆形源的分布式无源雷达系统的宽线性处理

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In this paper, we address the design of a distributed passive radar system which operates on a strictly non-circular source. The goal of a passive distributed radar is to provide a reliable estimation from the source signal, by collecting and combining the individual observations from the network in a centralized node. We take advantage of the non-circular nature of the source, and propose widely linear signal processing algorithms, which achieve around 3 dB of gain in the estimation accuracy compared to the available linear strategies. In this regard, a minimum mean squared error (MMSE) problem is formulated for unbiased class of estimators, where the widely-linear processing is enabled at the distributed sensors, or at a centralized entity. An optimal power allocation and information fusion is achieved in each case, by studying the optimality conditions of the corresponding problems. The performance of the proposed methods are then compared to the known linear strategies via numerical simulations.
机译:在本文中,我们解决了在严格非圆形源上运行的分布式无源雷达系统的设计。无源分布式雷达的目标是通过在集中式节点中收集和组合来自网络的各个观测值,从而根据源信号提供可靠的估计。我们利用信号源的非圆形特性,并提出了广泛的线性信号处理算法,与可用的线性策略相比,该算法在估计精度上可实现约3 dB的增益。在这方面,针对无偏估计量制定了最小均方误差(MMSE)问题,其中在分布式传感器或集中式实体处启用了广泛的线性处理。通过研究相应问题的最优条件,可以在每种情况下实现最优的功率分配和信息融合。然后通过数值模拟将所提出的方法的性能与已知的线性策略进行比较。

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