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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Performance analysis of target parameters estimation using multiple widely separated antenna arrays
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Performance analysis of target parameters estimation using multiple widely separated antenna arrays

机译：使用多个广泛分开的天线阵列进行目标参数估计的性能分析

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摘要

Target parameter estimation performance is investigated for a radar employing a set of widely separated transmitting and receiving antenna arrays. Cases with multiple extended targets are considered under two signal model assumptions: stochastic and deterministic. The general expressions for the corresponding Cramer-Rao lower bound (CRLB) and the asymptotic properties of the maximum-likelihood (ML) estimator are derived for a radar with Mt arrays of Lt transmitting elements and Mr arrays of Lr receiving elements for both types of signal models. It is shown that for an infinitely large product MtMr, and a finite Lr, the ML estimator is consistent and efficient under the stochastic model, while the deterministic model requires MtMr to be finite and Lr to be infinitely large in order to guarantee consistency and efficiency. Monte Carlo simulations further investigate the estimation performance of the proposed radar configuration in practical scenarios with finite MtMr and Lr, and a fixed total number of available receiving antenna elements, MrLr. The numerical results demonstrate that grouping receiving elements into properly sized arrays reduces the mean.
机译：针对采用一组广泛分离的发射和接收天线阵列的雷达，研究了目标参数估计性能。在两个信号模型假设下考虑具有多个扩展目标的情况：随机和确定性。对于两种类型的Lt发射元件的Mt阵列和Lr接收元件的Mr阵列的雷达，推导了对应的Cramer-Rao下界（CRLB）和最大似然（ML）估计量的渐近性质的一般表达式。信号模型。结果表明，对于无限大的乘积MtMr和有限的Lr，在随机模型下ML估计量是一致且有效的，而确定性模型要求MtMr为有限且Lr为无​​限大以保证一致性和效率。 。蒙特卡洛模拟进一步研究了在实际场景中，有限的MtMr和Lr以及固定的可用接收天线元件Mrrr总数，所提出的雷达配置的估计性能。数值结果表明，将接收元素分组为适当大小的阵列会减少平均值。

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