摘要
仅以提高雷达检测性能为目标所设计的发射波形通常具有较高距离旁瓣和峰均比,不利于微弱信号检测和实际工程应用。针对上述问题,提出目标信号子空间加权的自适应波形优化方法。给出利用环境中有色噪声的统计特性改善目标检测性能的系统模型,选取目标-有色噪声矩阵的大特征向量构成目标信号子空间,建立在该子空间上优化加权系数使发射波形满足自相关性能和峰均比约束的目标函数,并采用序列二次规划算法进行求解。该方法所优化发射波形能有效抑制有色噪声,同时获得较好的自相关特性和峰均比,改善雷达综合性能。仿真结果表明了该方法的有效性和灵活性。
The transmitting waveform only designed to improve radar detection performance usually has high range sidelobes and peak-to-average power ratio（PAPR）,harmful to weak signal detection and practical engineering application.To solve the above problem,an adaptive waveform design method of weighted target signal subspace is proposed.Firstly,the system model to improve the target detection performance utilizing the statistical property of the surrounding colored noise is given.Secondly,the target signal subspace is constructed by the large eigenvectors of the target-colored-noise matrix.The target function to search the weight coefficients on this subspace under the constraints of autocorrelation property and PAPR is built.Then the sequential quadratic programming algorithm is adopted to get the optimal solution.The transmitting waveform optimized by the proposed method can suppress the colored noise effectively,as well as obtain good autocorrelation property and PAPR.The integrated radar performance is improved.The simulation results prove the effectiveness and flexibility of this method.
出处
《电波科学学报》
EI
CSCD
北大核心
2012年第1期110-116,211,212,共9页
Chinese Journal of Radio Science
基金
南京理工大学自主科研专项计划资助项目(2010ZYTS028)
关键词
自适应波形设计
目标信号子空间
相关性能
峰均比
序列二次规划算法
adaptive waveform design
target signal subspace
correlation property
peak-to-average power ratio
sequential quadratic programming algorithm
