Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Soft-Iterative Channel Estimation: Methods and Performance Analysis
IEEE Transactions on Signal Processing
Optimal insertion of pilot symbols for transmissions over time-varying flat fading channels
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Performance of BICM-ID with Signal Space Diversity
IEEE Transactions on Wireless Communications
Bandwidth Efficient Channel Estimation Using Super-Imposed Pilots in OFDM Systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
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This paper proposes an iterative estimator for bit interleaved coded modulation (BICM) with an iterative soft-input soft-output (SISO) receiver over time-varying flat fading channels. More specifically, the system implements signal space diversity (SSD) where the QAM symbols are rotated. The use of an iterative Kalman filter shows good results using superimposed training sequence and Gauss-Markov channel model for fast tracking of the channel variation. The proposed soft iterative estimator uses the soft extrinsic information from the decoder as well as the superimposed training sequence to update the channel coefficients for data detection. To analyze the results, an analytical bound for the asymptotic bit error rate (BER) for BICM-ID-SSD over correlated fading channels is computed with perfect channel state information (CSI).