A Consideration of High-Convergence Adaptive Deconvolution with Noise Reduction Function Based on Total Least Squares

Abstract

In baseband transmission systems, if received signals do not include noises, we can accurately perform blind deconvolution for regenerating the transmitted signals. However, if the received signals include noises, the deconvolution performance generally deteriorates. In order to solve this problem, the re-generation method for transmitted signals based on Total Least Squares (TLS) with a noise reduction unit has been proposed. However, convergence rates of the method are low because it uses the gradient method. Therefore, in this paper, we propose a higher adaptive regeneration method for convergence using a recursive approach. This is because the convergence rate is expected to be higher this way. The proposed method was compared with the conventional method by computer simulation. As a result, we found that the proposed method can achieve higher convergence rate, maintaining high deconvolution performance.