Wideband Sparse Signal Acquisition Based on Serial Multi-Coset Sampling

An Effective Wideband Spectrum Sensing Method Based on Sparse Signal Reconstruc- Tion for Cognitive Radio Networks

Wideband spectrum sensing is an essential functionality for cognitive radio networks. It enables cognitive radios to detect spectral holes over a wideband channel and to opportunistically use under-utilized frequency bands without causing harmful interference to primary networks. However, most of the work on wideband spectrum sensing presented in the literature employ the Nyquist sampling which...

Dynamics and Correlations in Sparse Signal Acquisition

Sparse Signal Sampling using Noisy Linear Projections

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GPS signal acquisition via compressive multichannel sampling

In this paper, we propose an efficient acquisition scheme for GPS receivers. It is shown that GPS signals can be effectively sampled and detected using a bank of randomized correlators with much fewer chip-matched filters than those used in existing GPS signal acquisition algorithms. The latter use correlations with all possible shifted replicas of the satellite-specific C/A code and an exhaust...

DOA estimation of wideband signals based on slice-sparse representation

In this article, the direction-of-arrival (DOA) estimation problem of wideband signal sources is studied. We pass the incident signals through a bank of narrowband filters to split the array outputs into several narrowband components. Then, a novel slice-sparse representation model of the joint narrowband array covariance data is proposed in the frequency domain to enforce joint sparsity in the...