系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (12): 3811-3820.doi: 10.12305/j.issn.1001-506X.2022.12.26

• 制导、导航与控制 • 上一篇    

高速机动目标长时间相参积累和参数估计算法研究

杨宇超*, 方明, 赵晨帆, 王玥琪, 方刚   

  1. 上海航天电子技术研究所, 上海 201109
  • 收稿日期:2021-09-06 出版日期:2022-11-14 发布日期:2022-11-24
  • 通讯作者: 杨宇超
  • 作者简介:杨宇超(1996—), 男, 助理工程师, 硕士, 主要研究方向为雷达目标检测与长时间积累|方明(1987—), 男, 高级工程师, 博士, 主要研究方向为新体制雷达、雷达信号处理|赵晨帆(1995—), 女, 助理工程师, 硕士, 主要研究方向为雷达信号处理|王玥琪(1995—), 女, 助理工程师, 硕士, 主要研究方向为通信信号处理|方刚(1987—), 男, 工程师, 硕士, 主要研究方向为雷达数据处理、资源调度

Research on long-time coherent integration and parameter estimation algorithm of high-speed maneuvering targets

Yuchao YANG*, Ming FANG, Chenfan ZHAO, Yueqi WANG, Gang FANG   

  1. Shanghai Aerospace Electronic Technology Institute, Shanghai 201109, China
  • Received:2021-09-06 Online:2022-11-14 Published:2022-11-24
  • Contact: Yuchao YANG

摘要:

长时间相参积累是提高雷达探测性能的重要技术之一。在高速高机动目标的长时间积累过程中引起的距离走动、距离弯曲、多普勒频率走动与多普勒频率弯曲效应会带来严重的积累信噪比(signal-to-noise ratio, SNR)损失, 进而使得噪声背景下雷达难以有效发现探测目标的存在。针对上述问题, 提出了一种针对高速机动目标的参数化长时间积累算法。首先,使用keystone变换(keystone transform, KT)校正了线性距离走动。然后, 使用相参积累型修正三阶相位函数(coherently integrated modified cubic phase function, CIMCPF)与相参积累型修正高阶模糊函数(coherently integrated modified high-order ambiguous function, CIMHAF)算法分别完成了对一阶和二阶加速度的参数估计。得益于CIMCPF与CIMHAF对信号相参特性的利用, 该算法在低信噪比下依然有效。同时, 由于没有对参数网格搜索的过程, 算法的计算复杂度也较低。仿真实验与分析证实了所提算法的优异性能。

关键词: 长时间相参积累, keystone变换, 相参积累型修正三阶相位函数, 相参积累型修正高阶模糊函数, 参数估计

Abstract:

Long-time coherent integration is one of the important techniques to improve radar detection performance. The range migration (RM), range curvation (RC), Doppler frequency migration (DFM) and Doppler frequency curvation (DFC) induced by the movement of high-speed maneuvering target during the long-time coherent integration would bring about serious integration signal-to-noise ratio (SNR) loss, which may furthermore cause the target detection performance of the radar sharp deterioration in the background of noise. In order to solve the problem, the paper proposes a parameterized long-time integration algorithm for high-speed maneuvering targets. The method applies keystone transform (KT) to eliminate linear RM firstly. Then coherently integrated modified cubic phase function (CIMCPF) and coherently integrated modified high-order ambiguous function (CIMHAF) methods are utilized respectively to estimate the first-order and second-order accelerations. Thanks to the use of signal coherent property, the method is still effective at low signal-to-noise ratio. Furthermore, since there is no brute-force search process, the computational complexity of the method is low. Simulation results and analysis demonstrate the excellent performance of the proposed method.

Key words: long-time coherent integration, keystone transform (KT), coherently integrated modified cubic phase function (CIMCPF), coherently integrated modified high-order ambiguous function (CIMHAF), parameter estimation

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