Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
On Superimposed Training for MIMO Channel Estimation and Symbol Detection
IEEE Transactions on Signal Processing
Optimal insertion of pilot symbols for transmissions over time-varying flat fading channels
IEEE Transactions on Signal Processing
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Two major techniques are used to embed pilots into data, time-division multiplexed (TDM) and superimposed (SIP). In this paper, we compare these two techniques in an informative consideration under time varying fading channels. Besides the ordinary SIP without dealing with the interference, we also study two different kinds of performance improved iterative SIP: interference subtraction (IS) and interference exploitation (IE). Using Wiener filtering and accounting estimation error, the capacity lower bounds and BER expressions are derived. Numerical results show that great potential benefits are brought by SIP if the interference is utilized properly. With this potential exploited, SIP shows great superior to PSAM, especially in high speed environments.