TY - GEN
T1 - Dynamic direction-of-arrival estimation via spatial compressive sensing
AU - Khomchuk, P.
AU - Bilik, I.
PY - 2010/7/30
Y1 - 2010/7/30
N2 - This work addresses a problem of dynamic spatial spectrum estimation using linear sensor array via spatial compressive sensing (SCS). Static SCS approach is generalized for scenarios with dynamic far-field sources via Kalman filter, which provides the noncoherent minimum mean squared integration of instantaneous spatial spectrum estimations. The proposed dynamic SCS approach (DSCS) is shown to be efficient in low-SNR scenarios when the spatial spectrum is nonsparse, and therefore, the static SCS-based method cannot be used. Performance of the DSCS was evaluated in bearing-only target tracking scenarios where maneuvering target was considered.
AB - This work addresses a problem of dynamic spatial spectrum estimation using linear sensor array via spatial compressive sensing (SCS). Static SCS approach is generalized for scenarios with dynamic far-field sources via Kalman filter, which provides the noncoherent minimum mean squared integration of instantaneous spatial spectrum estimations. The proposed dynamic SCS approach (DSCS) is shown to be efficient in low-SNR scenarios when the spatial spectrum is nonsparse, and therefore, the static SCS-based method cannot be used. Performance of the DSCS was evaluated in bearing-only target tracking scenarios where maneuvering target was considered.
UR - http://www.scopus.com/inward/record.url?scp=77954934307&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2010.5494437
DO - 10.1109/RADAR.2010.5494437
M3 - Conference contribution
AN - SCOPUS:77954934307
SN - 9781424458127
T3 - IEEE National Radar Conference - Proceedings
SP - 1191
EP - 1196
BT - 2010 IEEE Radar Conference
T2 - IEEE International Radar Conference 2010, RADAR 2010
Y2 - 10 May 2010 through 14 May 2010
ER -