Channel identification and sequential sequence estimation using antenna array in broadband mobile communications

Abstract

This paper proposes the joint use of antenna array and sequential sequence estimation (SSE) technique for the equalization of multipath fading channels suffering from severe ISI. It is shown that with the proper use of the multiple stack algorithm (MSA), exploiting the redundant structure of the signal received by multiple antenna array elements can enhance the uniqueness of the sequence estimation, thereby significantly reducing the frame erasure probability. Three new algorithms are derived for vector channel identification, the results of which are used to calculate the Fano metric for SSE. The first algorithm uses just a temporal reference, and others use both temporal and spatial references. The impacts of using the temporal and spatial references are investigated in terms of the channel identification accuracy as well as overall frame erasure rate (ERR) and bit error rate (BER). The results of computer simulations are presented to compare the performances of the three algorithms.