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Time delay estimation in multipath environments is important for many applications in the fields of radar, sonar, communication and so on. In this paper, we propose a method based on compressed sensing for time delay estimation. In the proposed method, the signal in time domain is first converted into frequency domain, which tends to convert the problem to a parameter estimation of sinusoidal signals...
A measurement matrix plays an important role in the compressed sensing theory for sparse spatial spectral estimation. However, the RIP theory cannot provide a best measurement matrix for all the applications. In general, different measurement matrices have different characteristics to suit for different applications. Thus, this paper mainly researches on six common measurement matrices. Different...
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