Blind MIMO Channel Identification Using Particle Swarm Algorithm

Blind Channel Identification is the problem of estimating the channel impulse response function given only by the measurements of the system output. In this paper, firstly, we maximized the cost function to construct the relationship between the inverse equalizer output and the input sequences, and then we used particle swarm algorithm to get the parameters and iteratively extract the MIMO (multiple-input multiple-output) system channel impulse response function.Computer simulation examples illustrate that the proposed algorithm can achieve higher performance when using less output samples to estimate the function parameters; even when we used lots of output samples the proposed algorithm also can get better performance than the subspace algorithm and the inverse filter algorithm.