分布式源定位参数估计的迭代算法

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955339

A. P. Iserte, A. Pérez-Neira, M.A.L. Hernandez

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引用次数: 2

摘要

我们提出了一种新的算法，用于估计由于散射效应而不能被认为是准时的源的到达方向和角分布参数。该算法是迭代的，基于与天线阵列(ML)接收快照相关的似然函数的最大化。提出了一种计算效率高的噪声环境下多源同频发射的定位和角分布参数估计方法。该算法通过提出单源机器学习的两个新问题，解决了两源情况下的联合最大化问题。

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Iterative algorithm for the estimation of distributed sources localization parameters

We present a novel algorithm for the estimation of the direction of arrival and angular distribution parameters of sources that, as a result from the scattering effects, cannot be considered as punctual. The algorithm is iterative and is based on the maximization of the likelihood function associated to the received snapshots at the antenna array (ML). It is proposed a computationally efficient method for estimating the localization and angular distribution parameters of more than one source transmitting at the same frequency in a noisy environment. This algorithm solves the problem of the joint maximization in the case of two sources by formulating two new problems of a single-source ML.

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.