关于雷达回波信号传输性能优化设计仿真
|
摘要
为有效降低雷达回波数据中的冗余,优化雷达回波的传输性能,提出了单周期雷达回波的奇异值分解压缩算法。通过研究雷达回波周期间和周期内的线性相关性,发现回波信号周期内的相关性远大于周期间的相关性,可以通过对单个周期回波数据构造二维矩阵,然后利用奇异值分解来压缩二维冗余性。同时在分析矩阵的行数和列数对压缩性能影响的基础上,建立了以压缩比最大为优化目标、以重构信号的保真度为约束条件的单个周期回波数据的二维矩阵优化构造模型。利用实测的雷达回波数据对算法进行仿真,结果表明算法有效可行,能够有效提高数据的压缩比和重构精度,并且兼顾了实时性,优化了雷达回波信号传输性能。
To effectively reduce the redundancy in radar echo data and optimize the transmission performance of radar echo,the singular value decomposition compression algorithm for single-period radar echo is proposed.Through studying the linear correlation between the radar echo period and the linear correlation in the radar echo period,it is shown that the correlation between the echo signal periods is much larger than that in the echo signal period.So it can be used to construct a two-dimensional matrix of the single-period echo data,and then the singular value decomposition is used to compress the redundancy.Meanwhile,based on the analysis of the influence of the number of rows and columns of the matrix on the compression performance,a two-dimensional matrix structure optimization model is estabhshed,which chooses maximum compression ratio as the object and the fidelity of reconstructed signal as the subject.The real-life radar echo data are used to simulate the algorithm.The results show that the algorithm is effective and feasible,which can effectively improve the compression ratio and reconstruction precision of the data with real-time performance and optimize the transmission performance of radar echo.
To effectively reduce the redundancy in radar echo data and optimize the transmission performance of radar echo,the singular value decomposition compression algorithm for single-period radar echo is proposed.Through studying the linear correlation between the radar echo period and the linear correlation in the radar echo period,it is shown that the correlation between the echo signal periods is much larger than that in the echo signal period.So it can be used to construct a two-dimensional matrix of the single-period echo data,and then the singular value decomposition is used to compress the redundancy.Meanwhile,based on the analysis of the influence of the number of rows and columns of the matrix on the compression performance,a two-dimensional matrix structure optimization model is estabhshed,which chooses maximum compression ratio as the object and the fidelity of reconstructed signal as the subject.The real-life radar echo data are used to simulate the algorithm.The results show that the algorithm is effective and feasible,which can effectively improve the compression ratio and reconstruction precision of the data with real-time performance and optimize the transmission performance of radar echo.
引文
[1]魏文斌,于文震.一种有效的宽带雷达信号压缩算法[J].现代雷达,2010,32(4):54-58.
[2]NING Jiaxin,et al.A wavelet-based data compression technique for smart grid[J].IEEE Trans on Smart Grid,2011,2(1):212-218.
[3]王怀光,等.基于奇异值分解和小波变换的图像压缩算法[J].火炮发射与控制学报,2012,(4):38-42.
[4]段礼祥,张来斌,王朝晖.基于梯度阈值的往复压缩机振动信号小波包奇异值降噪[J].机械强度,2010,32(3):353-358.
[5]贾毅婷,张东来,张斌.基于小波尺度相关性的暂态数据降噪压缩方法[J].电力系统自动化,2013,37(5):68-73.
[6]费铭薇,等.电力系统故障录播数据压缩与重构小波基选择[J].电力系统自动化,2005,29(17):64-67,97.
[7]翁浩,高金吉.旋转机械振动信号压缩小波基优化选择方法[J].振动、测试与诊断,2013,33(3):437-444.
[8]卓颉,等.阈值改进整数小波与LZW算法相结合的水声数据压缩算法[J].声学技术,2015,34(2):115-120.
[9]高彩亮,廖志伟,岳苓.基于小波奇异值和支持向量机的高压线路故障诊断[J].电力系统保护与控制,2010,38(6):35-39.51.
[10]鲍文,周瑞,刘金福.基于二维提升小波的火电厂周期性数据压缩算法[J].中国电机工程学报,2007,27(29):96-101.
[11]李飞鹏,梅天灿,秦前清.雷达数据的准无损压缩[J].武汉大学学报(理学版),2004,50(1):118-122.
[2]NING Jiaxin,et al.A wavelet-based data compression technique for smart grid[J].IEEE Trans on Smart Grid,2011,2(1):212-218.
[3]王怀光,等.基于奇异值分解和小波变换的图像压缩算法[J].火炮发射与控制学报,2012,(4):38-42.
[4]段礼祥,张来斌,王朝晖.基于梯度阈值的往复压缩机振动信号小波包奇异值降噪[J].机械强度,2010,32(3):353-358.
[5]贾毅婷,张东来,张斌.基于小波尺度相关性的暂态数据降噪压缩方法[J].电力系统自动化,2013,37(5):68-73.
[6]费铭薇,等.电力系统故障录播数据压缩与重构小波基选择[J].电力系统自动化,2005,29(17):64-67,97.
[7]翁浩,高金吉.旋转机械振动信号压缩小波基优化选择方法[J].振动、测试与诊断,2013,33(3):437-444.
[8]卓颉,等.阈值改进整数小波与LZW算法相结合的水声数据压缩算法[J].声学技术,2015,34(2):115-120.
[9]高彩亮,廖志伟,岳苓.基于小波奇异值和支持向量机的高压线路故障诊断[J].电力系统保护与控制,2010,38(6):35-39.51.
[10]鲍文,周瑞,刘金福.基于二维提升小波的火电厂周期性数据压缩算法[J].中国电机工程学报,2007,27(29):96-101.
[11]李飞鹏,梅天灿,秦前清.雷达数据的准无损压缩[J].武汉大学学报(理学版),2004,50(1):118-122.