Target Characterization Using MIMO Radar

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2020-01-01 DOI:10.21307/ijssis-2019-013

Samarendra Nath Sur, S. Bera, S. Shome, R. Bera, B. Maji

引用次数: 1

Abstract

Abstract The exploitation of coherency gain and diversity gain to improve the MIMO system performance is a burning research topic. This paper is to examine the performance analysis of MIMO radar by utilizing the above-said gains. The authors have analyzed the performance of the MIMO radar, in terms of mathematical modeling, considering the probability of detection and post-processing SNR, with respect to changes in the diversity order. Furthermore, this paper also deals with the practical implementation and analysis of the said system, demonstrating the range imaging and RCS pattern of a known standard target.

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利用MIMO雷达进行目标表征

摘要利用相干增益和分集增益来提高MIMO系统的性能是一个热门的研究课题。本文利用上述增益对MIMO雷达的性能分析进行了研究。作者从数学建模的角度分析了MIMO雷达的性能，考虑了检测概率和后处理信噪比，以及分集阶数的变化。此外，本文还讨论了该系统的实际实现和分析，展示了已知标准目标的距离成像和RCS模式。

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

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

审稿时长

8 weeks

期刊介绍： nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity