Title :
Improved MIMO radar channel estimation using spatial coding
Author :
Aittomaki, Tuomas ; Koivunen, Visa
Author_Institution :
Dept. of Signal Process. & Acoust., Aalto Univ., Aalto, Finland
Abstract :
A spatial coding of the transmitted waveforms in a distributed MIMO radar system is proposed for reducing the impact of noise and interference on the channel matrix estimate. The channel matrix is needed in target parameter estimation as well as transmitter resource allocation and target recognition, for example. It is shown that when noise or interference are correlated after filtering at the receiver, it is possible decrease the error of the channel coefficient estimates by using the proposed coding method. Numerical results shown here demonstrate the benefits of the method in practical scenarios.
Keywords :
MIMO radar; channel coding; channel estimation; filtering theory; interference suppression; parameter estimation; radar interference; radar receivers; radar target recognition; radar transmitters; resource allocation; spatial filters; channel matrix estimation; distributed MIMO radar system; filtering; interference; parameter estimation; radar receiver; spatial coding; target recognition; transmitter resource allocation; waveform transmission; Channel estimation; Encoding; Interference; MIMO radar; Noise; Receivers; Transmitters; MIMO radar; channel estimation; interference suppression; spatial coding;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638434