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A Bayesian approach to tracking wideband targets using sensor arrays and particle filters

机译:一种使用传感器阵列和粒子滤波器跟踪宽带目标的贝叶斯方法

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This paper presents a Bayesian approach for tracking the directions-of-arrival (DOAs) of multiple wideband moving targets using a linear, passive sensor array, for use in smart antenna wireless applications, for example. A novel form of posterior distribution describing the parameters of the received signal is developed. The nuisance parameters (source amplitudes and variances) of this distribution are integrated out to form a more computationally efficient estimator. The desired parameters are then tracked using particle filtering techniques. Simulation results demonstrate the effectiveness and robustness of this method.
机译:本文提出了一种贝叶斯方法,该方法使用线性无源传感器阵列来跟踪多个宽带移动目标的到达方向(DOA),例如用于智能天线无线应用。开发了一种新型的后验分布形式,描述了接收信号的参数。将该分布的有害参数(源幅度和方差)进行积分,以形成计算效率更高的估算器。然后使用粒子过滤技术跟踪所需的参数。仿真结果证明了该方法的有效性和鲁棒性。

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