科研之友
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摘要
The ever-increasing demand for high-data-rate communication over a wireless multipath fading channel usually necessitates that at the receiver, prior knowledge about the channel is known. This is often achieved using known pilot signals that track the channel and produce at the receiver channel impulse response reconstruction obtained from the received signals. In a rich multipath channel assumption, classical pilot-based techniques for channel estimation lead to a better signal reconstruction performance. Recently, empirical studies have demonstrated that the rich multipath assumption taken is violated in most physical systems and that the channel instead exhibits a sparse multipath behaviour that is characterized by only a few dominant paths in propagation. In this paper, multipath sparsity is exploited through compressed sensing. It shows that proper pilot pattern designing of the measurement matrix is desirable for a good sensing matrix as well as the use of a suitable nonlinear reconstruction algorithm for an enhanced channel estimation performance.
- 出版日期2017
