Wideband DOA estimation by joint sparse representation under Bayesian learning framework

@article{Wang2015WidebandDE,
  title={Wideband DOA estimation by joint sparse representation under Bayesian learning framework},
  author={Lu Wang and Lifan Zhao and Guoan Bi and Chunru Wan},
  journal={2015 IEEE International Conference on Digital Signal Processing (DSP)},
  year={2015},
  pages={366-369}
}
Wideband direction of arrival (DOA) estimation is a practical problem frequently occurring in sonar application. Compared to the entire angular domain, targets only occupy a few directions and the received signals are considered to be sparse in the angular domain. It is further noted that signals in different spectrum bands show a strong joint sparsity due to the fact that targets from different directions share the spectrum. This paper exploits the joint sparsity of the signals and… CONTINUE READING