一种基于加速度补偿的机动目标参数估计方法  

Novel Algorithm for Parameter Estimation of Maneuvering Target via Compensating Acceleration

作　　者：郑景忠 何川 周鑫 ZHENG Jing-zhong;HE Chuan;ZHOU Xin(Sichuan Jiuzhou Aerocont Technologies Co.,LTD,Mianyang Sichuan 621000,China)

机构地区：[1]四川九洲空管科技有限责任公司

出　　处：《计算机仿真》2019年第12期84-87,96,共5页Computer Simulation

摘　　要：提出了一种基于加速度补偿的机动目标参数估计方法,以解决目前机动目标参数估计算法在短时条件下参数估计精度较低的问题。首先对机载预警雷达接收的回波信号进行加速度补偿,再将补偿后信号做FFT处理,比较其频谱峰值大小,进而完成机动目标参数估计。将仿真结果与基于分数阶傅里叶变换(FRFT)方法的结果进行比较,结果表明,上述方法在机载预警雷达一个相干处理时间内发射脉冲数的情况下,参数估计精度比FRFT方法有了明显提高,而且运算速度较快,估计性能更接近克拉美罗界(CRB),有利于工程实现;仿真验证了上述方法有效性。因此,上述方法能够在短时条件下对机动目标的参数估计获得较高的精度。To solve the problem of poor parameters accuracy in the existing methods when the accumulation time is short,a novel algorithm intending to estimate the parameters of maneuvering target by means of compensating acceleration is proposed in this paper.First of all,the echo signal received by early warning radar was processed by acceleration compensation.Then,after compensating acceleration,the signal was disposed using FFT.At last,the parameters of air maneuvering target,such as initial velocity and acceleration,were estimated by searching the maximum of spectrum peaks.The proposed algorithm can acquire precise parameter estimation of air maneuvering target with limited pulses in a coherent processing interval for airborne radar.In addition,the operating time is much shorter than FRFT method and it is more conducive to project implementation.The effectiveness of this algorithm was verified through the numerical simulations compared with FRFT and Cramer-Rao bound.The proposed algorithm can perfectly solve the problem of poor parameters accuracy in the existing methods.

关 键 词：机动目标 加速度补偿 线性调频信号 参数估计 

分 类 号：TN955.2[电子电信—信号与信息处理]