Abstract
This paper evaluates the performance of cognitive radar networks using joint transmit-receive adaptive beamforming for multipath mitigation. Two monostatic radars are combined to form a cognitive radar network capable of mitigating multipath efficiently. The cognitive radar network senses the radar environment and turns on joint adaptive beamforming only when the multipath signals are expected to result in multipath nulls. Simulation results show that the cognitive radar network with joint adaptive beamforming achieve significant performance improvements in target signal to noise ratio (SNR) under strong multipath. This is achieved by sustaining a multipath gain and successfully suppressing nulls.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE Radar Conference (RadarConf24) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISBN (Electronic) | 9798350329209 |
| ISBN (Print) | 9798350329216 |
| DOIs | |
| Publication status | Published - 13 Jun 2024 |
| Event | 2024 IEEE Radar Conference, RadarConf 2024 - Denver, United States Duration: 6 May 2024 → 10 May 2024 |
Publication series
| Name | Proceedings of the IEEE Radar Conference |
|---|---|
| ISSN (Print) | 1097-5764 |
| ISSN (Electronic) | 2375-5318 |
Conference
| Conference | 2024 IEEE Radar Conference, RadarConf 2024 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 6/05/24 → 10/05/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- cognitive radar
- joint adaptive beamforming
- multipath effect
- multistatic radar
- radar networks
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Instrumentation
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