基于滑窗和原子字典的壓縮域跳頻信號參數(shù)估計算法

付衛(wèi)紅; 張云飛; 韋娟; 劉乃安

doi:10.11999/JEIT170084

基于滑窗和原子字典的壓縮域跳頻信號參數(shù)估計算法

doi: 10.11999/JEIT170084 cstr: 32379.14.JEIT170084

基金項目:

國家自然科學基金(61201134)，高等學校學科引智計劃(B08038)

計量
- 文章訪問數(shù): 1171
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-01-23
- 修回日期: 2017-05-09
- 刊出日期: 2017-11-19

Parameter Estimation Algorithm for Frequency-hopping Signal in Compressed Domain Based on Sliding Window and Atomic Dictionary

Funds:

The National Natural Science Foundation of China (61201134), 111 Project (B08038)

摘要

摘要: 現(xiàn)有跳頻信號參數(shù)估計算法大多沒有考慮跳頻信號的結(jié)構(gòu)特性，在低信噪比下存在計算復雜度高或估計精度低的缺點，針對這一問題，該文提出一種基于滑窗和原子字典的壓縮域跳頻信號參數(shù)估計算法。用滑窗法對所處理的跳頻信號進行整周期滑動壓縮采樣，粗略估計出跳頻信號的跳變時刻，以塊對角化的傅里葉正交基作為稀疏基精確估計出跳變前后的頻率，在此基礎(chǔ)上構(gòu)建可以表示跳頻信號局部時頻特性的原子字典，通過匹配追蹤算法準確估計出跳頻信號的跳變時刻。實驗結(jié)果表明，該算法在顯著降低信號采樣數(shù)據(jù)量和計算復雜度的同時，保持了跳頻信號參數(shù)的高精度估計。
- 跳頻信號 /
- 壓縮采樣 /
- 參數(shù)估計 /
- 原子字典
Abstract: Most existing parameter estimation algorithms for Frequency Hopping (FH) signal do not consider the structural characteristics of FH signals, and have the disadvantages of high computational complexity or low estimation accuracy in low signal-to-noise ratio circumstance. To solve this problem, this paper proposes a parameter estimation algorithm for frequency hopping signal in compressed domain based on sliding window and atomic dictionary. The frequency hopping signal is acquired by sliding compression sampling, and hopping time is roughly estimated with sliding window method. The Fourier orthogonal basis of block diagonalization is used as sparse basis to estimate the frequency of the signal. An atomic dictionary, which can represent the local time-frequency characteristics of the frequency hopping signal, is constructed based on the estimated frequency and rough hopping time. Then the hopping time can be estimated accurately by the matching pursuit algorithm. Simulation results show that this algorithm can significantly reduce the sampling data and computational complexity, while maintaining the high accuracy estimation.
- Frequency-hopping signal /
- Compressive sampling /
- Parameter estimation /
- Atomic dictionary

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參考文獻(22)

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