Research Article
A Novel Channel Extraction Method Based on Partial Orthogonal Matching Pursuit Algorithm
@INPROCEEDINGS{10.1007/978-3-319-73317-3_25, author={Wang Xiangjun and Dou Zheng and Lin Yun}, title={A Novel Channel Extraction Method Based on Partial Orthogonal Matching Pursuit Algorithm}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={POMP algorithm Channelizer Channel extraction Compressed sensing}, doi={10.1007/978-3-319-73317-3_25} }- Wang Xiangjun
Dou Zheng
Lin Yun
Year: 2018
A Novel Channel Extraction Method Based on Partial Orthogonal Matching Pursuit Algorithm
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_25
Abstract
Channelization has proven to be very successful in digital receivers application, and it is a critical component of reducing the sampling rate process. Compressed sensing has been widely applied to reconstruct sparse signals sampled at sub-Nyquist rate. In this paper, a stable and fast algorithm termed Partial Orthogonal Matching Pursuit (POMP) is proposed for a channelized digital receiver. It is suitable for sparse channels in wide bandwidth. The novel POMP algorithm is analyzed and compared with the conventional channelization method based on polyphase filters, and numerical simulations demonstrate that the POMP detection not only achieves the basic functions of a channelizer, but also outperforms a polyphase channelizer. Moreover, the POMP algorithm is an efficient method to suppress the aliasing and leaking between channels.
