本文選題：壓縮感知 + 快速觀測　； 參考：《西安電子科技大學(xué)學(xué)報(bào)》2017年01期

【摘要】：為了解決壓縮感知采樣系統(tǒng)中隨機(jī)觀測算法硬件實(shí)現(xiàn)復(fù)雜而確定性觀測算法難以實(shí)現(xiàn)大信號高效測量的問題,提出了一種用于低復(fù)雜度壓縮感知的快速觀測方法.設(shè)計(jì)了m序列交織器對輸入信號進(jìn)行白化處理,然后對白化信號進(jìn)行快速哈達(dá)瑪變換并下采樣得到測量樣本.理論分析表明,該算法對應(yīng)的傳感矩陣滿足準(zhǔn)高斯特性.仿真結(jié)果表明,該算法對應(yīng)的觀測矩陣具有和隨機(jī)觀測矩陣幾乎相同的性能以及更短的觀測時(shí)間.該算法具有良好的測量性能并易于硬件實(shí)現(xiàn),具有一定的實(shí)用價(jià)值.
[Abstract]:In order to solve the problem that the hardware implementation of the random observation algorithm in the compressed sensing sampling system is complex and the deterministic observation algorithm is difficult to achieve high efficient measurement of large signals, a fast observation method for low complexity compression is proposed. The m sequence interleaver is designed to whiten the input signal, and then the whitening signal is fast. The theoretical analysis shows that the corresponding sensing matrix of the algorithm satisfies the quasi Gauss characteristic. The simulation results show that the corresponding observation matrix has almost the same performance as the random observation matrix and the shorter observation time. The algorithm has good measurement performance and is easy to be implemented in hardware. Now, it has certain practical value.
【作者單位】： 西安電子科技大學(xué)通信工程學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61372069) “111”工程資助項(xiàng)目(B08038)
【分類號】：TN911.7

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相關(guān)期刊論文 前3條

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本文編號：2005147