Low-Complexity Failed Element Diagnosis for Radar-Communication mmWave Antenna Array with Low SNR
| Autor: | Keren Dai, Xiaofeng Wang, Defu Jiang, Yu Zhang, He Zhang, Qingyu Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Beamforming
Computer Networks and Communications Computer science 0206 medical engineering lcsh:TK7800-8360 02 engineering and technology law.invention low complexity Low complexity Antenna array joint radar-communication system law 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless Electrical and Electronic Engineering Radar low SNR failed elements diagnisis business.industry lcsh:Electronics 020206 networking & telecommunications 020601 biomedical engineering Hardware and Architecture Control and Systems Engineering Signal Processing mmWave antenna array business Decoupling (electronics) |
| Zdroj: | Electronics Volume 8 Issue 8 Electronics, Vol 8, Iss 8, p 904 (2019) |
| ISSN: | 2079-9292 |
| DOI: | 10.3390/electronics8080904 |
| Popis: | 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 &minus 12.5 dB for communication signals and &minus 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. |
| Databáze: | OpenAIRE |
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