基于滑窗和原子字典的壓縮域跳頻信號(hào)參數(shù)估計(jì)算法

付衛(wèi)紅; 張?jiān)骑w; 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(hào)參數(shù)估計(jì)算法

doi: 10.11999/JEIT170084

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61201134)，高等學(xué)校學(xué)科引智計(jì)劃(B08038)

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- 文章訪問(wèn)數(shù): 1148
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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(hào)參數(shù)估計(jì)算法大多沒(méi)有考慮跳頻信號(hào)的結(jié)構(gòu)特性，在低信噪比下存在計(jì)算復(fù)雜度高或估計(jì)精度低的缺點(diǎn)，針對(duì)這一問(wèn)題，該文提出一種基于滑窗和原子字典的壓縮域跳頻信號(hào)參數(shù)估計(jì)算法。用滑窗法對(duì)所處理的跳頻信號(hào)進(jìn)行整周期滑動(dòng)壓縮采樣，粗略估計(jì)出跳頻信號(hào)的跳變時(shí)刻，以塊對(duì)角化的傅里葉正交基作為稀疏基精確估計(jì)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(hào)局部時(shí)頻特性的原子字典，通過(guò)匹配追蹤算法準(zhǔn)確估計(jì)出跳頻信號(hào)的跳變時(shí)刻。實(shí)驗(yàn)結(jié)果表明，該算法在顯著降低信號(hào)采樣數(shù)據(jù)量和計(jì)算復(fù)雜度的同時(shí)，保持了跳頻信號(hào)參數(shù)的高精度估計(jì)。
- 跳頻信號(hào) /
- 壓縮采樣 /
- 參數(shù)估計(jì) /
- 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(xiàn)(22)

TORRIERI D J. Mobile frequency-hopping CDMA system [J]. IEEE Transactions on Communications, 2000, 48(8): 1318-1327. doi: 10.1109/26.864169.

AMIN M G. Interference mitigation in spread spectrum communication systems using time-frequency distributions[J]. IEEE Transactions on Signal Processing, 1997, 45(1): 90-101. doi: 10.1109/78.552208.

趙俊, 張朝陽(yáng), 賴?yán)? 等. 一種基于時(shí)頻分析的跳頻信號(hào)參數(shù)盲估計(jì)方法[J]. 電路與系統(tǒng)學(xué)報(bào), 2003, 8(3): 46-50. doi: 10.3969/j.issn.1007-0249.2003.03.011.

ZHAO Jun, ZHANG Chaoyang, LAI Lifeng, et al. Blind parameter estimation of frequency-hopping signals based on time-frequency analysis[J]. Journal of Circuits and Systems, 2003, 8(3): 46-50. doi: 10.3969/j.issn.1007-0249.2003.03.011.

BSRBAROSSA S and SCAGLIONE A. Parameter estimation of spread spectrum frequency hopping signals using time-frequency distributions[C]. Signal Processing Advances in Wireless Communications of First Signal Processing Workshop, Paris, France, 1997: 213-216.

ANGELOSANTE D and GIANNAKIS G B. Estimating multiple frequency-hopping signal parameters via sparse linear regression[J]. IEEE Transations on Signal Processing, 2010, 58(10): 5044-5056. doi: 10.1109/TSP.2010. 2052614.

呂晨杰, 王斌, 唐濤. 采用局部特征尺度分解的跳頻信號(hào)參數(shù)盲估計(jì)算法[J]. 信號(hào)處理, 2015, 31(3): 308-313. doi: 10.3969/ j.issn.1003-0530.2015.03.008.

L Chenjie, WANG Bin, and TANG Tao. Blind parameter estimation of frequency hopping signal using local characteristic-scale decomposition[J]. Journal of Signal Processing, 2015, 31(3): 308-313. doi: 10.3969/j.issn.1003- 0530.2005.03.008.

范海寧, 郭英. 一種新的跳頻信號(hào)參數(shù)盲估計(jì)算法[J]. 信號(hào)處理, 2009, 25(11): 1754-1758. doi: 10.3969/j.issn.1003-0530. 2009.11.017.

FAN Haining and GUO Ying. A novel blind parameter estimation algorithm of frequency-hoppig signals[J]. Signal Processing, 2009, 25(11): 1754-1758. doi: 10.3969/j.issn.1003- 0530.2009.11.017.

HUANG Anmin, GUAN Gui, MEHBODNIYA A, et al. A block orthogonal matching pursuit algorithm based on sensing dictionary[J]. International Journal of the Physical Sciences, 2011, 6(5): 992-999. doi: 10.5897/ IJPS11.171.

范海寧, 郭英, 艾宇. 基于原子分解的跳頻信號(hào)盲檢測(cè)和參數(shù)盲估計(jì)算法[J]. 信號(hào)處理, 2010, 26(5): 695-702. doi: 10.3969/ j.issn.1003-0530.2010.05.010.

FAN Haining, GUO Ying, and AI Yu. Blind detection and parameter estimation algorithm based on atomic decomposition[J]. Signal Processing, 2010, 26(5): 695-702. doi: 10.3969/j.issn.1003-0530.2010.05.010.

CANDES E J, ROMBERG J, and TAO T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509. doi: 10.1109/TIT.2005.862083.

CANDES E J and TAO T. Near-optimal signal recovery from random projections:universal encoding strategies[J]. IEEE Transactions on Information Theory, 2006, 52(12): 5406-5425. doi: 10.1109/TIT.2006.885507.

RICHARD G, CANDES E, ROBERT N, et al. Compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 12-13. doi: 10/1109/MSP.2008.915557.

張春磊, 李立春, 王大鳴. 壓縮域?qū)拵l信號(hào)跳變時(shí)刻估計(jì)算法[J]. 太赫茲科學(xué)與電子信息學(xué)報(bào), 2015, 13(1): 122-129. doi: 10.11805/TKYDA201501.0122.

ZHANG Chunlei, LI Lichun, and WANG Daming. A hopping transition time estimation algorithm for wide-band frequency-hopping signal in compressed domain[J]. Journal of Terahertz Science and Electronic Information Technology, 2015, 13(1): 122-128. doi: 10.11805/TKYDA2015.0122.

ZHAO Lifan, WANG Lu, BI Guoan, et al. Robust frequency- hopping spectrum estimation based on sparse Bayesian method[J]. IEEE Transactions on Wireless Communications, 2015, 14(2): 781-793. doi: 10.1109/ TWC.2014.2360191.

陳瑩, 鐘菲, 郭樹旭. 非合作跳頻信號(hào)參數(shù)的盲壓縮感知估計(jì)[J]. 雷達(dá)學(xué)報(bào), 2016, 5(5): 531-537. doi: 10.12000/JR15106.

CHEN Ying, ZHONG Fei, and GUO Shuxu. Blind compressed sensing parameter estimation of non-cooperative frequency hopping signal[J]. Journal of Radars, 2016, 5(5): 531-537. doi: 10.12000/JR15106.

WANG Lixin, ZHANG Binze, and ZHAO Yizhi. Compressive sampling and rapid reconstruction of broadband frequency hopping signals with interference[J]. Circuits, Systems, and Signal Processing, 2015, 34(5): 1535-1547. doi: 10.1007/ s00034-014-9912-4.

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