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.671612017-09-11T01:39:08Z http://eprints.utm.my/id/eprint/67161/ Variable step-size l0-norm NLMS algorithm for sparse channel estimation Nunoo, Solomon Okonowo, Uche Kennedy 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. 2014 Conference or Workshop Item PeerReviewed Nunoo, Solomon and Okonowo, Uche Kennedy and Ngah, Razali and Zahedi, Yasser K. (2014) Variable step-size l0-norm NLMS algorithm for sparse channel estimation. In: International Conference on IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2014, 28-30 Aug, 2014, Grand Inna Kuta HotelBali, Indonesia. http://dx.doi.org/10.1109/APWiMob.2014.6920290 |
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TK Electrical engineering. Electronics Nuclear engineering Nunoo, Solomon Okonowo, Uche Kennedy Ngah, Razali Zahedi, Yasser K. Variable step-size l0-norm NLMS algorithm for sparse channel estimation |
| description |
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. |
| format |
Conference or Workshop Item |
| author |
Nunoo, Solomon Okonowo, Uche Kennedy Ngah, Razali Zahedi, Yasser K. |
| author_facet |
Nunoo, Solomon Okonowo, Uche Kennedy Ngah, Razali Zahedi, Yasser K. |
| author_sort |
Nunoo, Solomon |
| 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 |
| publishDate |
2014 |
| url |
http://eprints.utm.my/id/eprint/67161/ http://dx.doi.org/10.1109/APWiMob.2014.6920290 |
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1643655912242544640 |
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13.211869 |