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用于提高跟踪性能的距离划分多输入多输出波形

Range Dividing MIMO Waveform for Improving Tracking Performance.

作者信息

Kim Eun-Hee, Kim Han-Saeng, Lee Ki-Won

机构信息

Department of Defence System Engineering, Sejong University, 209 Neungdong-ro, Gwangjn-gu, Seoul 05006, Korea.

LIGNex1 co., 207 Mabuk-ro, Giheung-gu, Yongin-si 16911, Korea.

出版信息

Sensors (Basel). 2021 Nov 2;21(21):7290. doi: 10.3390/s21217290.

DOI:10.3390/s21217290
PMID:34770599
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8586945/
Abstract

A multiple-input multiple-output (MIMO) method that shares the same frequency band can efficiently increase radar performance. An essential element of a MIMO radar is the orthogonality of the waveform. Typically, orthogonality is obtained by spreading different signals into divided domains such as in time-domain multiplexing, frequency-domain multiplexing, and code domain multiplexing. This paper proposes a method of spreading the interference signals outside the range bins of interest for pulse doppler radars. This is achieved by changing the pulse repetition frequency under certain constraints, and an additional gain can be obtained by doppler processing. This method is very effective for improving the angular accuracy of the MIMO radar for a small number of air targets, although it may have limitations in use for many targets or in high clutter environments.

摘要

一种共享相同频带的多输入多输出（MIMO）方法可以有效提高雷达性能。MIMO雷达的一个关键要素是波形的正交性。通常，正交性是通过将不同信号扩展到划分的域中获得的，例如在时域复用、频域复用和码域复用中。本文提出了一种将干扰信号扩展到脉冲多普勒雷达感兴趣距离单元之外的方法。这是通过在一定约束下改变脉冲重复频率来实现的，并且通过多普勒处理可以获得额外的增益。该方法对于提高少量空中目标的MIMO雷达角度精度非常有效，尽管在用于许多目标或高杂波环境中可能存在使用限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/1252fa835c1c/sensors-21-07290-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/4b55d1b37d35/sensors-21-07290-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/a04684cb6e6a/sensors-21-07290-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/5a7935856d85/sensors-21-07290-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/e3d5469ffbf4/sensors-21-07290-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/f734dd037d62/sensors-21-07290-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/1252fa835c1c/sensors-21-07290-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/97321fcacc06/sensors-21-07290-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/a80dc55c01ca/sensors-21-07290-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/d0b04fcb0431/sensors-21-07290-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/a9ee279a65e4/sensors-21-07290-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/6387cffe3236/sensors-21-07290-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/1be61ac77bd5/sensors-21-07290-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/4b55d1b37d35/sensors-21-07290-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/a04684cb6e6a/sensors-21-07290-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/5a7935856d85/sensors-21-07290-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/e3d5469ffbf4/sensors-21-07290-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/f734dd037d62/sensors-21-07290-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/4604c0ed4b5a/sensors-21-07290-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d40/8586945/1252fa835c1c/sensors-21-07290-g013.jpg

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