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Background The construction of measurement matrix becomes a focus in compressed sensing (CS) theory. Although random matrices have been theoretically and practically shown to reconstruct signals, it is still necessary to study the more promising deterministic measurement matrix. Methods In this paper, a new method to construct a simple and efficient deterministic measurement matrix, sparse kronecker...
In this paper, we consider the problem of direction of arrival (DOA) estimation with co-prime arrays via compressed sensing methods. A sparse signal recovery model based on the framework of co-prime array is presented. We propose to use OMP algorithm to efficiently implement the optimization procedure, which have a lower computational cost. The sparse recovery model of DOA estimation obeys the isotropy...
The communication and detection signal become hard to recognize after they go through the underwater channel. To enhance the underwater signal, the functional link theory is introduced. According to the characteristic of the underwater signals, some improvements are made based on the split functional link adaptive filter. Experiment shows that the split functional link adaptive filter is fit for the...
When compressed sensing technology is applied to underwater acoustic communication system, signal reconstruction error will be affected more or less by bit error ratio (BER). In this essay, random number of statistics, which obeys the law of standard normal distribution, is used to simulate the generation of bit error. Using the same reconstruction algorithm, reconstruction error with bit error and...
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