Channel Estimation, Interference Cancellation, and Symbol Detection for Communications on Overlapping Channels
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In this paper, we propose the joint channel estimation, interference cancellation, and data symbol detection for unsynchronized communications of different bandwidths over overlapping channels. To this end, we have to estimate the Effective Interference Coefficients (EICs) and the desired channel coefficients. We construct a two-phase framework where the EICs and desired channel coefficients are estimated using the maximum a posteriori probability (MAP) criteria in the first phase and the MAP based data symbol detection is performed in the second phase. We analyze the channel estimation error, residual interference, symbol error rate (SER) achieved by the proposed framework. We then discuss how to optimize the pilot density to achieve the maximum throughput. Via numerical studies, we show that our design can effectively mitigate the interference for a wide range of SNR values and our proposed channel estimation and symbol detection design can achieve better performance than the existing method.
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