Variable step-size l0-norm NLMS algorithm for sparse channel estimation
Wireless communication systems often require accurate channel state information (CSI) at the receiver side. Typically, the CSI can be obtained from channel impulse response (CIR). Measurements have shown that the CIR of wideband channels are often sparse. To this end, the least mean square (LMS)-bas...
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my.utm.632102017-06-18T06:48:08Z http://eprints.utm.my/id/eprint/63210/ Variable step-size l0-norm NLMS algorithm for sparse channel estimation Okonowo, Uche Kennedy Nunoo, Solomon Ngah, Razali Zahedi, Yasser K. TK Electrical engineering. Electronics Nuclear engineering Wireless communication systems often require accurate channel state information (CSI) at the receiver side. Typically, the CSI can be obtained from channel impulse response (CIR). Measurements have shown that the CIR of wideband channels are often sparse. To this end, the least mean square (LMS)-based algorithms have been used to estimate the CIR at the receiver side, which unfortunately is not able to accurately estimate sparse channels. In this paper, we propose a variable step-size l0-norm normalized LMS (NLMS) algorithm. The step-size is varied with respect to changes in the mean square error (MSE), allowing the filter to track changes in the system as well as produce smaller steady-state errors. We present simulation results and compare the performance of the new algorithm with the invariable step-size NLMS (ISS-NLMS), variable step-size NLMS (VSS-NLMS) and the invariable step-size l0-NLMS (ISS-l0-NLMS) algorithms. The results show that the proposed algorithm improves the identification of sparse systems. Institute of Electrical and Electronics Engineers Inc. 2014 Article PeerReviewed Okonowo, Uche Kennedy and Nunoo, Solomon and Ngah, Razali and Zahedi, Yasser K. (2014) Variable step-size l0-norm NLMS algorithm for sparse channel estimation. Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014 . pp. 88-91. http://dx.doi.org/10.1109/APWiMob.2014.6920290 DOI :10.1109/APWiMob.2014.6920290 |
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TK Electrical engineering. Electronics Nuclear engineering Okonowo, Uche Kennedy Nunoo, Solomon Ngah, Razali Zahedi, Yasser K. Variable step-size l0-norm NLMS algorithm for sparse channel estimation |
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Wireless communication systems often require accurate channel state information (CSI) at the receiver side. Typically, the CSI can be obtained from channel impulse response (CIR). Measurements have shown that the CIR of wideband channels are often sparse. To this end, the least mean square (LMS)-based algorithms have been used to estimate the CIR at the receiver side, which unfortunately is not able to accurately estimate sparse channels. In this paper, we propose a variable step-size l0-norm normalized LMS (NLMS) algorithm. The step-size is varied with respect to changes in the mean square error (MSE), allowing the filter to track changes in the system as well as produce smaller steady-state errors. We present simulation results and compare the performance of the new algorithm with the invariable step-size NLMS (ISS-NLMS), variable step-size NLMS (VSS-NLMS) and the invariable step-size l0-NLMS (ISS-l0-NLMS) algorithms. The results show that the proposed algorithm improves the identification of sparse systems. |
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Article |
author |
Okonowo, Uche Kennedy Nunoo, Solomon Ngah, Razali Zahedi, Yasser K. |
author_facet |
Okonowo, Uche Kennedy Nunoo, Solomon Ngah, Razali Zahedi, Yasser K. |
author_sort |
Okonowo, Uche Kennedy |
title |
Variable step-size l0-norm NLMS algorithm for sparse channel estimation |
title_short |
Variable step-size l0-norm NLMS algorithm for sparse channel estimation |
title_full |
Variable step-size l0-norm NLMS algorithm for sparse channel estimation |
title_fullStr |
Variable step-size l0-norm NLMS algorithm for sparse channel estimation |
title_full_unstemmed |
Variable step-size l0-norm NLMS algorithm for sparse channel estimation |
title_sort |
variable step-size l0-norm nlms algorithm for sparse channel estimation |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2014 |
url |
http://eprints.utm.my/id/eprint/63210/ http://dx.doi.org/10.1109/APWiMob.2014.6920290 |
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