【摘要】：提出了一種基于稀疏重構(gòu)的窄帶弱信號(hào)時(shí)延估計(jì)算法.利用信號(hào)的互相關(guān)譜構(gòu)造數(shù)據(jù)矩陣,然后建立時(shí)延參數(shù)的冗余字典,最后通過矩陣奇異值分解在信號(hào)子空間中利用正交匹配追蹤算法得到高精度時(shí)延估計(jì).理論分析和仿真實(shí)驗(yàn)驗(yàn)證了算法的正確性和有效性.相比于傳統(tǒng)方法,該算法可將窄帶弱信號(hào)時(shí)延估計(jì)精度提高約1倍.
[Abstract]:A time delay estimation algorithm for narrow band weak signals based on sparse reconstruction is proposed. The data matrix is constructed from the cross-correlation spectrum of the signal, and then the redundant dictionary of the delay parameters is established. Finally, the high precision time delay estimation is obtained by using the orthogonal matching tracking algorithm in the signal subspace by the singular value decomposition of the matrix. Theoretical analysis and simulation results show that the algorithm is correct and effective. Compared with the traditional method, this algorithm can improve the accuracy of time delay estimation of narrowband weak signal by about twice.
【作者單位】： 盲信號(hào)處理重點(diǎn)實(shí)驗(yàn)室;信息工程大學(xué)信息系統(tǒng)工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61304264)
【分類號(hào)】：TN911.23
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本文編號(hào)：2428741