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Open AccessArticle

Low-Complexity Failed Element Diagnosis for Radar-Communication mmWave Antenna Array with Low SNR

1
ZNDY of Ministerial Key Laboratory, School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
2
North Information Control Research Academy Group Co., Ltd., Nanjing 211153, China
3
Key Laboratory of Digital TV System of Guangdong Province and Shenzhen City, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China
4
Research Institute of Tsinghua, Pearl River Delta, Guangzhou 510530, China
5
Beijing National Research Center for Information Science and Technology (BNRist), Beijing 100084, China
6
Laboratory of Array and Information Processing, Hohai University, Nanjing 210098, China
*
Authors to whom correspondence should be addressed.
Electronics 2019, 8(8), 904; https://doi.org/10.3390/electronics8080904
Received: 1 July 2019 / Revised: 6 August 2019 / Accepted: 8 August 2019 / Published: 15 August 2019
(This article belongs to the Section Microwave and Wireless Communications)
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PDF [981 KB, uploaded 15 August 2019]
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Abstract

The millimeter-wave (mmWave) antenna array plays an important role in the excellent performance of wireless sensors networks (WSN) or unmanned aerial vehicle (UAV) clusters. However, the array elements are easily damaged in its harsh working environment but hard to be repaired or exchanged timely, resulting in a serious decline in the beamforming performance. Thus, accurate self-diagnosis of the failed elements is of great importance. In previous studies, there are still significant difficulties for large-scale arrays under extremely low SNR. In this paper, a diagnosis algorithm with low complexity and high reliability for the failed elements is proposed, which is based on a joint decision of communication signal and sensing echoes. Compared with the previous studies, the complexity of the algorithm is reduced by the construction of low-dimensional feature vectors for classification, the decoupling of the degree of arrival (DOA) estimation and the failed pattern diagnosis, with the help of the sub-array division. Simulation results show that, under an ultra-low SNR of −12.5 dB for communication signals and −16 dB for sensing echoes, an accurate self-diagnosis with a block error rate lower than 8% can be realized. The study in this paper will effectively promote the long-term and reliable operation of the mmWave antenna array in WSN, UAV clusters and other similar fields. View Full-Text
Keywords: mmWave antenna array; failed elements diagnisis; joint radar-communication system; low complexity; low SNR mmWave antenna array; failed elements diagnisis; joint radar-communication system; low complexity; low SNR
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Li, Q.; Dai, K.; Wang, X.; Zhang, Y.; Zhang, H.; Jiang, D. Low-Complexity Failed Element Diagnosis for Radar-Communication mmWave Antenna Array with Low SNR. Electronics 2019, 8, 904.

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