Non-uniform norm constraint estimation algorithm for underwater acoustic channels at the presence of varying sparsity

作者：Wu Fei Yun^*; Zhou Yue Hai; Tong Feng; Fang Shi Liang

来源：Acta Armamentarii, 2014, 35(9): 1503-1509.

DOI：10.3969/j.issn.1000-1093.2014.09.025

• Channel estimation algorithms
• Constraint estimation
• Estimation performance
• Least mean square algorithms
• Non-uniform
• Norm constraint
• Performance degradation
• Underwater acoustic channels

For the typical underwater acoustic channels with time-frequency double extension characteristics, the channel estimation performance can be improved by introducing a norm constraint into the channel estimation algorithm based on the sparse distribution feature of the channels. However, at the presence of varying multipath structure caused by change of depth or velocity gradient, the classic l0 or l1 norm constraint methods are subject to performance degradation due to lack of adaptability to sparsity. A previously derived non-uniform norm constraint LMS (NNCLMS) algorithm is introduced, and then a convergence analysis is made on it. In the form of non-uniform norm, the NNCLMS algorithm is used to accommodate the different sparsities caused by different multipath structures. Numerical simulation and sea experimental results show that the estimation performance of the proposed method is superior to that of the classic l0 or l1 norm constraint algorithm.

• 出版日期2014
• 单位东南大学; 厦门大学