Optimal pilot pattern for data-aided channel estimation for MIMO-OFDM wireless systems

This article presents an optimal pilot pattern for the data-aided channel estimation (DACE) scheme for both single-input single-output (SISO) and multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The research evaluates the performance of the DACE scheme using different comb-type pilot patterns for both least square (LS) and linear minimum mean square error (LMMSE) channel estimators. In this regard, it is found that pilot spacing significantly influences system performance. Inserting pilot symbols in consecutive subcarriers cannot compensate for increased pilot spacing. Hence, the solution to this problem is to place pilot symbols at appropriate locations within the given spectrum. Moreover, data symbols which are reliably detected at the receiver are used as additional pilot signals to further enhance system performance. However, reliable data symbols need to be determined carefully because wrong detection results in severe performance degradation. In this respect, the proposed comb-type pilot pattern using a single pilot subcarrier extracts the maximum number of reliable data symbols for the DACE scheme, improves channel estimation accuracy, and provides bandwidth optimization for MIMO-OFDM systems. Furthermore, it outperforms all other pilot patterns in terms of system mean square error (MSE) and bit-error-rate (BER) performance. This article presents an optimal comb-type pilot pattern for the data-aided channel estimation (DACE) scheme for both single-input single-output (SISO) and multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The research evaluates the performance of the DACE scheme using different comb-type pilot patterns for both least square (LS) and linear minimum mean square error (LMMSE) channel estimators. image