Error Self-calibration Method in Spatial Spectrum Estimation

Q2 Physics and Astronomy

雷达学报 Pub Date : 2014-10-01 DOI:10.3724/SP.J.1300.2014.13147

Chuanlu Huang, Chao Kun, Yun-zhi Mao

引用次数: 0

Abstract

: An important bottleneck in spatial spectrum estimation theory is array errors. A new error self-calibration method is presented on the basis of active error calibration and online self-calibration theories. An algorithm combining Direction Of Arrival (DOA) estimation and array complex gain error calibration is developed using an auxiliary source without accurate spatial location information and numerical optimization calculation; the error calibration parameters can be used in the following spatial spectrum estimation. The method has a higher veracity than the active correction algorithm and is an offline calculation procedure, having the advantage of small computation amount, similar to the online self-calibration method, and avoiding accurate spatial location information in classical active calibration method.

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空间频谱估计中的误差自校正方法

阵列误差是空间频谱估计理论的一个重要瓶颈。基于主动误差标定和在线误差标定理论，提出了一种新的误差自标定方法。提出了一种无精确空间位置信息辅助源的DOA估计与阵列复增益误差标定相结合的算法，并进行了数值优化计算;误差校正参数可用于后续的空间谱估计。该方法比主动校正算法具有更高的准确性，是一种离线计算过程，具有计算量小，类似于在线自校正方法的优点，并且避免了经典主动校正方法中精确的空间位置信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

雷达学报 Physics and Astronomy-Instrumentation

CiteScore

4.10

自引率

0.00%

发文量

882

期刊介绍： Journal of Radars was founded in 2012 by the Institute of Space and Astronautical Information Innovation of the Chinese Academy of Sciences (formerly the Institute of Electronics) and the China Radar Industry Association (CRIA), which is located in the high-end academic journal and academic exchange platform in the field of radar, and is committed to promoting and leading the scientific and technological development in the field of radar. The journal can publish Chinese papers and English papers, and is now a bimonthly journal. Journal of Radars focuses on theory, originality and foresight, and its scope of coverage mainly includes: radar theory and system, radar signal and data processing technology, radar imaging technology, radar identification and application technology. Journal of Radars has been included in domestic core journals and foreign Scopus, Ei and other databases, and was selected as ‘China's high-quality science and technology journals’, and ranked the first in the category of electronic technology and communication technology in the ‘Chinese Core Journals List (2023 Edition)’.