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Quantization-Loss Analysis for Array Signal-Source Localization

机译:阵列信号源定位的量化损耗分析

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This work investigates the problem of low SNR signal-source localization with an array of sensors. Keeping the receive system simple, we focus on analog-to-digital converters (ADC) with coarse resolution. In order to increase the localization accuracy and minimize the size of the receiver, we discuss the effect of analog filtering and antenna spacing on the Fisher information measure. In particular, the beneficial influence of temporal and spatial noise correlation produced by the analog receive filter and antenna coupling is considered. Results for the extreme case of 1-bit hard-limiting quantizers show that it is possible to compensate the quantization-loss of the optimum unbiased estimator through the correct choice of the analog frontend and antenna design. Further, our investigation shows that for array receivers high resolution parameter estimation is still possible with antenna spacings far below λ/2.
机译:这项工作调查了具有传感器阵列的SNR信号源定位的问题。保持接收系统简单,我们专注于具有粗略分辨率的模数转换器(ADC)。为了提高定位精度并最小化接收器的大小,我们讨论模拟滤波和天线间距对Fisher信息测量的影响。特别地,考虑了模拟接收滤波器和天线耦合产生的时间和空间噪声相关的有益影响。结果为1位硬限制量化器的极端情况表明,可以通过正确选择模拟前端和天线设计来补偿最佳无偏估计器的量化损耗。此外,我们的研究表明,对于阵列接收机,具有远低于λ/ 2的天线间距仍然可以实现高分辨率参数估计。

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