All-Adaptive Blind Matched Filtering for the Equalization and Identification of Multipath Channels—A Practical Approach

Abstract

Abstract-Blind matched filter receiver is advantageous over the state-of-the-art blind schemes due the simplicity in its implementation. To estimate the multipath communication channels, it uses neither any matrix decomposition methods nor statistics of the received data higher than the second order ones. On the other hand, the realization of the conventional blind matched filter receiver requires the noise variance to be estimated and the equalizer parameters to be calculated in state-space with relatively costly matrix operations. In this paper, a novel architecture is proposed to simplify a potential hardware implementation of the blind matched filter receiver. Our novel approach transforms the blind matched filter receiver into an all-adaptive format which replaces all the matrix operations. Furthermore, the novel design does not need for any extra step to estimate the noise variance. In this paper we also report on a comparative channel equalization and channel identification scenario, looking into the performances of the conventional and our novel all-adaptive blind matched filter receiver through simulations.

CMF-DFE Based Adaptive Blind Equalization Using Particle Swarm Optimization

“…At the nth iteration, the estimation of MSE for the ith particle is given by (21). (21) where N is the length of the window of the input data and ij (n) is the jth error for the ith particle. When and (z) coefficients are adaptively optimized by controlling the trend of the error value for the best performing particle, the training is terminated and the operation is switched to data recovery processes.…”

“…In that study, the blind equalizer is used for the estimation of the phase response of the channel. Another work presents a simple recursive algorithm for matrix inversing and matrix multiplication operations for the match filter based blind receiver [21]. A CMF-DFE based blind channel estimation and equalization method is presented in [22].…”

Estimating and calibrating the response of multiple wideband digital radio frequency memories in a hardware‐in‐the‐loop system using shuffled frog leaping algorithm

“…A digital equalisation filter can be designed and implemented in the field programmable gate array (FPGA) to compensate for the frequency response of the DRFM [9, 10]. Digital filters can be classified as finite impulse response (FIR) filters and infinite impulse response (IIR) filters.…”

Bayesian blind turbo equaliser with reduced complexity based on channel estimate monitoring

“…On the other side, robust blind equalisation approaches, which do not depend on the transmission of training symbols to CIR estimation, represent an important alternative to efficient use of communication channel bandwidth, being still considered in modern communication systems [10][11][12]. Some works in this subject relied on particle filtering for joint blind equalisation and decoding [11,13,14].…”