The concept of a traditional monostatic radar with co-located transmit and receive antennas naturally imposes performance limits that can adversely impact applications. Using a multiplicity of transmit and receive antennas and exploiting spatial diversity provides additional degrees of design freedom that can help overcome such limitations. Further, when coupled with cognitive signal processing, such advanced systems offer significant improvement in performance over their monostatic counterparts. This will also likely lead to new applications for radar sensing. In this paper we explore the fundamentals of multistatic network radar highlighting both potential and constraints whilst identifying future research needs and applications. Initial experimental results are presented for a 2-node networked staring radar.
|Title of host publication||2021 IEEE Radar Conference (RadarConf21)|
|Subtitle of host publication||Radar on the Move|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||6|
|ISBN (Print)||9781728176109 (PoD)|
|Publication status||Published - 18 Jun 2021|
|Event||2021 IEEE Radar Conference, RadarConf 2021 - Atlanta, United States|
Duration: 8 May 2021 → 14 May 2021
|Name||IEEE National Radar Conference - Proceedings|
|Conference||2021 IEEE Radar Conference, RadarConf 2021|
|Period||8/05/21 → 14/05/21|
Bibliographical noteFunding Information:
The work was part funded by DSTL and supported by an Aveillant Limited funded Industrial PhD with Cranfield University. The authors would also like to thank Aveillant Limited for supporting the radar trials.
ASJC Scopus subject areas
- Electrical and Electronic Engineering