CAJ | 학술논문

该文提出一种基于压缩感知(Compressive Sensing, CS)和三次相位变换(Cubic Phase Transform, CPT)的低复杂度空中机动目标参数估计方法。首先利用CPT将机动目标回波信号中的两个参数进行分离，然后采用压缩感知技术完成机动目标参数的估计。在机载雷达发射脉冲数有限的情况下，该方法能够获得准确的参数估计结果；仿真实验验证了该方法有效性。
해문제출일충기우압축감지(Compressive Sensing, CS)화삼차상위변환(Cubic Phase Transform, CPT)적저복잡도공중궤동목표삼수고계방법。수선이용CPT장궤동목표회파신호중적량개삼수진행분리，연후채용압축감지기술완성궤동목표삼수적고계。재궤재뢰체발사맥충수유한적정황하，해방법능구획득준학적삼수고계결과；방진실험험증료해방법유효성。
A novel and low complexity algorithm is proposed to estimate the parameters of air maneuvering target based on Compressive Sensing (CS) and Cubic Phase Transform (CPT). First of all, CPT is utilized to separate the two parameters of the maneuvering target. Then, CS is used to estimate the parameters according to the properties of sparse signal in the time-frequency domain. The proposed algorithm can acquire precise parameter estimation with limited pulses in a coherent processing interval for airborne radar. The effectiveness of the proposed algorithm is verified by the numerical simulations.