一种雷达信号的单样本压缩采样方法
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摘要
本文提出了一种雷达信号的单样本压缩采样方法。该方法在多相随机子采样FFT的模拟信息转换器(Analog-to-Information Converter,AIC)方案的基础上进行了改进,利用了雷达信号多个连续脉冲相关性较强的特点,提出了一种单样本压缩采样AIC,单个脉冲通过该AIC压缩得到单个样本值,对稀疏信号进行压缩采样。此方法降低了硬件电路复杂度,提高了压缩率,能够实现对雷达目标的位置和速度等参数的准确估计。仿真实验证明了单样本压缩采样方法的有效性。
This paper presents a single sample compressive sampling method for radar signals. This method is improved on the basis of the Analog to Information Converter(AIC) scheme of multi-phase random sub-sampling FFT. Taking advantage of the strong correlation of multiple continuous pulses of radar signal, a single sample compression sampling AIC is proposed. A single pulse can obtain a single sample value to realize the compressed sampling of sparse signals. This method reduces the complexity of the hardware circuit, improves the compression ratio, and achieves accurate estimation of parameters such as the position and velocity of the target. Simulation experiments verify the effectiveness of this method.
This paper presents a single sample compressive sampling method for radar signals. This method is improved on the basis of the Analog to Information Converter(AIC) scheme of multi-phase random sub-sampling FFT. Taking advantage of the strong correlation of multiple continuous pulses of radar signal, a single sample compression sampling AIC is proposed. A single pulse can obtain a single sample value to realize the compressed sampling of sparse signals. This method reduces the complexity of the hardware circuit, improves the compression ratio, and achieves accurate estimation of parameters such as the position and velocity of the target. Simulation experiments verify the effectiveness of this method.
引文
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[3] 刘明.基于压缩感知的雷达信号处理技术研究[J].信息通信,2017(12):8-9.Liu Ming.Research on Radar Signal Processing Technology Based on Compressed Sensing[J].Journal of Information and Communications,2017(12):8-9.(in Chinese)
[4] 张弓,文方青,陶宇,等.模拟-信息转换器研究进展[J].系统工程与电子技术,2015,37(2):229-238.Zhang Gong,Wen Fangqing,Tao Yu,et al.Advances in analog-to-information convertor[J].Journal of Systems Engineering and Electronics,2015,37(2):229-238.(in Chinese)
[5] Baraniuk R G,Wakin M,Duarte M F,et al.Random filters for compressive sampling and reconstruction[C]//IEEE International Conference on Acoustics,Speech,and Signal Processing (ICASSP),2006,3:III- 872-III- 875.
[6] Donoho D L,Huo X.Uncertainty principles and ideal atomic decomposition[J].IEEE Transactions on Information Theory,2001,47(7):2845-2862.
[7] Kirolos S,Laska J,Wakin M,et al.Analog-to-information conversion via random demodulation[C]//2006 IEEE Dallas/CAS Workshop on Design,Applications,Integration and Software.IEEE,2006:71-74.
[8] Smith G E,Diethe T,Hussain Z,et al.Compressed sampling for pulse Doppler radar[C]//2010 IEEE Radar Conference.IEEE,2010:887- 892.
[9] 金磊,黄建军,高国星.多相随机子采样FFT模拟信息转换器[J].信号处理,2016,32(4):457- 462.Jin Lei,Huang Jianjun,Gao Guoxing,Implementation for Analog-to-information Convertor via Multiphase Random Sampling and Sub-sampled FFT[J].Journal of Signal Processing,2016,32(4):457- 462.(in Chinese)
[10] 李霞丽,吴立成,樊艳明.易于硬件实现的压缩感知观测矩阵的研究与构造[J].智能系统学报,2017,12(3):279-285.Li Xiali.Wu Licheng,Fan Yanming.Study and construction of a compressed sensing measurement matrix that is easy to implement in hardware[J].Journal of CAAI Transactions on Intelligent Systems,2017,12(3):279-285.(in Chinese)
[11] Davenport M A,Boufounos P T,Wakin M B,et al.Signal Processing With Compressive Measurements[J].IEEE Journal of Selected Topics in Signal Processing,2010,4(2):445- 460.
[2] Donoho D L.Compressed Sensing[J].IEEE Transactions on Signal Processing,2006,52(4):1289-1306.
[3] 刘明.基于压缩感知的雷达信号处理技术研究[J].信息通信,2017(12):8-9.Liu Ming.Research on Radar Signal Processing Technology Based on Compressed Sensing[J].Journal of Information and Communications,2017(12):8-9.(in Chinese)
[4] 张弓,文方青,陶宇,等.模拟-信息转换器研究进展[J].系统工程与电子技术,2015,37(2):229-238.Zhang Gong,Wen Fangqing,Tao Yu,et al.Advances in analog-to-information convertor[J].Journal of Systems Engineering and Electronics,2015,37(2):229-238.(in Chinese)
[5] Baraniuk R G,Wakin M,Duarte M F,et al.Random filters for compressive sampling and reconstruction[C]//IEEE International Conference on Acoustics,Speech,and Signal Processing (ICASSP),2006,3:III- 872-III- 875.
[6] Donoho D L,Huo X.Uncertainty principles and ideal atomic decomposition[J].IEEE Transactions on Information Theory,2001,47(7):2845-2862.
[7] Kirolos S,Laska J,Wakin M,et al.Analog-to-information conversion via random demodulation[C]//2006 IEEE Dallas/CAS Workshop on Design,Applications,Integration and Software.IEEE,2006:71-74.
[8] Smith G E,Diethe T,Hussain Z,et al.Compressed sampling for pulse Doppler radar[C]//2010 IEEE Radar Conference.IEEE,2010:887- 892.
[9] 金磊,黄建军,高国星.多相随机子采样FFT模拟信息转换器[J].信号处理,2016,32(4):457- 462.Jin Lei,Huang Jianjun,Gao Guoxing,Implementation for Analog-to-information Convertor via Multiphase Random Sampling and Sub-sampled FFT[J].Journal of Signal Processing,2016,32(4):457- 462.(in Chinese)
[10] 李霞丽,吴立成,樊艳明.易于硬件实现的压缩感知观测矩阵的研究与构造[J].智能系统学报,2017,12(3):279-285.Li Xiali.Wu Licheng,Fan Yanming.Study and construction of a compressed sensing measurement matrix that is easy to implement in hardware[J].Journal of CAAI Transactions on Intelligent Systems,2017,12(3):279-285.(in Chinese)
[11] Davenport M A,Boufounos P T,Wakin M B,et al.Signal Processing With Compressive Measurements[J].IEEE Journal of Selected Topics in Signal Processing,2010,4(2):445- 460.