TY - JOUR
T1 - Source separation and tracking using an electromagnetic vector sensor
AU - Zhang, Jinbin
AU - Ko, C. C.
AU - Nehorai, Arye
PY - 2000
Y1 - 2000
N2 - We present a structure for adaptively separating, enhancing and tracking uncorrelated sources with an electromagnetic vector sensor. The structure consists of a set of parallel spatial processors, one for each individual source. Two stages of processing are involved in each spatial processor. The first pre-processing stage rejects all other sources except the one of interest, whereas the second stage is an adaptive one for maximising the signal-to-noise ratio (SNR) and tracking the desired source. The pre-processors are designed using the latest source parameter estimates obtained from the source trackers, and a re-design is activated periodically or whenever any source has been detected by the source trackers to have made significant movement. Compared with conventional adaptive beamforming, the algorithm has the advantage that it is a blind scheme where no a priori information on any desired signal location is needed, and the sources are separated at maximum SNR. The structure is also well suited for parallel implementation. Numerical examples are included to illustrate the capability and performance of the algorithm.
AB - We present a structure for adaptively separating, enhancing and tracking uncorrelated sources with an electromagnetic vector sensor. The structure consists of a set of parallel spatial processors, one for each individual source. Two stages of processing are involved in each spatial processor. The first pre-processing stage rejects all other sources except the one of interest, whereas the second stage is an adaptive one for maximising the signal-to-noise ratio (SNR) and tracking the desired source. The pre-processors are designed using the latest source parameter estimates obtained from the source trackers, and a re-design is activated periodically or whenever any source has been detected by the source trackers to have made significant movement. Compared with conventional adaptive beamforming, the algorithm has the advantage that it is a blind scheme where no a priori information on any desired signal location is needed, and the sources are separated at maximum SNR. The structure is also well suited for parallel implementation. Numerical examples are included to illustrate the capability and performance of the algorithm.
UR - http://www.scopus.com/inward/record.url?scp=0034442940&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2000.910660
DO - 10.1109/ACSSC.2000.910660
M3 - Article
AN - SCOPUS:0034442940
SN - 1058-6393
VL - 2
SP - 980
EP - 984
JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers
JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers
ER -