Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-10-11 Cooperative journals: 《计算机应用研究》
Abstract： For the problem of high peak-to-average power ratio (PAPR) of transform domain communication system (TDCS) and the slow convergence of the PAPR of the traditional iterative clipping and filtering method, this paper proposed an improved iterative clipping and filtering method for TDCS signal PAPR reduction. By filtering the clipping noise introduced, this method reduced the PAPR regrowth and effectively eliminated out-of-band spectrum spread, and got better PAPR suppression effect in iteration. The simulation results show that on the one hand, this method can obtain better PAPR suppression effect, the first iteration can obtain about 1 dB performance gain compared with the traditional method and the third iteration has better effect than the fourth iteration of traditional method. On the other hand, it can improve the out-of-band spectrum performance, after filtering, the out-of-band spectrum power reduces by about 5 dB. The comparison of BER shows that the performance of system lost by the improved method is very low.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-02 Cooperative journals: 《计算机应用研究》
Abstract： Aiming at the problem of poor precision in the application of compressed sensing theory in the field of broadband spectrum sensing, and according to the sparse characteristics of the stationary signal in the frequency domain, this paper developed a broadband compression spectrum sensing method based on P-Ifourier (Partial-Inverse fourier) observation matrix. The new method translated the spectrum sensing problem into a typical compressed sensing problem, and used the standard orthogonal Fourier basis observation matrix which has the excellent incoherence performance to build the observation matrix in order to have good reconstruction performance and reconstruction precision. The simulation results show that compared with the Gaussian random observation matrix and the embedded chaotic sequence - cyclic Toeplitz structure observation matrix, this method can significantly reduce the mean square error of signal reconstruction in the lower SNR environment, and under the same conditions it can significantly improves the probability of reconstruction.
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