On the Full Column-Rank Condition of the Channel Estimation Matrix in Doubly-Selective MIMO-OFDM Systems
Kathik Muralidhar, Kwok Hung Li

TL;DR
This paper investigates conditions for the full column-rank of the channel estimation matrix in doubly-selective MIMO-OFDM systems, ensuring reliable channel estimation through specific BEM and pilot pattern designs.
Contribution
It derives conditions for BEM and pilot pattern designs to guarantee full column-rank in channel estimation matrices, extending to MIMO systems with large configurations.
Findings
Derived conditions for BEM and pilot pattern designs to ensure full rank.
Presented pilot pattern designs for large DS-MIMO-OFDM systems.
Extended the analysis to systems with up to six transmitters and receivers.
Abstract
Recently, this journal has published a paper which dealt with basis expansion model (BEM) based least-squares (LS) channel estimation in doubly-selective orthogonal frequency-division multiplexing (DS-OFDM) systems. The least-squares channel estimator computes the pseudo-inverse of a channel estimation matrix. For the existence of the pseudo-inverse, it is necessary that the channel estimation matrix be of full column rank. In this paper, we investigate the conditions that need to be satisfied that ensures the full column-rank condition of the channel estimation matrix. In particular, we derive conditions that the BEM and pilot pattern designs should satisfy to ensure that the channel estimation matrix is of full column rank. We explore the polynomial BEM (P-BEM), complex exponential BEM (CE-BEM), Slepian BEM (S-BEM) and generalized complex exponential BEM (GCE-BEM). We present one…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Advanced Adaptive Filtering Techniques · Wireless Communication Networks Research
