TY - GEN
T1 - Cost analysis of compressive sensing for MIMO STAP random arrays
AU - Kim, Haley H.
AU - Govoni, Mark A.
AU - Haimovich, Alexander M.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/22
Y1 - 2015/6/22
N2 - This work proposes an augmented variation of conventional space-time adaptive processing (STAP), and explores the application of multi-branch matching pursuit (MBMP) to a multiple-input multiple-output (MIMO) beamformer whose steering vector is created over an array having random, inter-element spacing. By applying compressive sensing (CS), a radar system is able to minimize the undesired effects of an undersampled array while providing adequate clutter suppression and reduced burden on array integration. In this paper, we compare the performance and computational complexity of the MBMP applied to the STAP problem and the STAP beamformer. In addition we propose two methods to reduce the computational complexity of MBMP, a modification to the MBMP algorithm which we refer to as truncated MBMP, and a grid refinement technique. We evaluate our approach and extend this aspect to help in understanding the necessary computations required for practical target detection.
AB - This work proposes an augmented variation of conventional space-time adaptive processing (STAP), and explores the application of multi-branch matching pursuit (MBMP) to a multiple-input multiple-output (MIMO) beamformer whose steering vector is created over an array having random, inter-element spacing. By applying compressive sensing (CS), a radar system is able to minimize the undesired effects of an undersampled array while providing adequate clutter suppression and reduced burden on array integration. In this paper, we compare the performance and computational complexity of the MBMP applied to the STAP problem and the STAP beamformer. In addition we propose two methods to reduce the computational complexity of MBMP, a modification to the MBMP algorithm which we refer to as truncated MBMP, and a grid refinement technique. We evaluate our approach and extend this aspect to help in understanding the necessary computations required for practical target detection.
UR - http://www.scopus.com/inward/record.url?scp=84937874877&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937874877&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2015.7131137
DO - 10.1109/RADAR.2015.7131137
M3 - Conference contribution
AN - SCOPUS:84937874877
T3 - IEEE National Radar Conference - Proceedings
SP - 980
EP - 985
BT - 2015 IEEE International Radar Conference, RadarCon 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Radar Conference, RadarCon 2015
Y2 - 10 May 2015 through 15 May 2015
ER -