A Waveform Design of MIMO Radars for Identification of Neighboring Targets

doi:10.7652/xjtuxb201804018

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A Waveform Design of MIMO Radars for Identification of Neighboring Targets

更新时间：2025-07-09

- A Waveform Design of MIMO Radars for Identification of Neighboring Targets
- Vol. 52, Issue 4, Pages: 125-131(2018)
- 作者机构：
  
  信息工程大学数据与目标工程学院,郑州,450001
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201804018
  CLC： TN958
- Online First：10 April 2018，
  
  Published：2018
- 稿件说明：
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A Waveform Design of MIMO Radars for Identification of Neighboring Targets[J]. 2018, 52(4): 125-131.
DOI：

A Waveform Design of MIMO Radars for Identification of Neighboring Targets[J]. 2018, 52(4): 125-131. DOI： 10.7652/xjtuxb201804018.

摘要

针对雷达系统邻近多目标分辨性能较差的问题

提出了一种面向邻近目标分辨的MIMO雷达波形设计方法。首先

通过数字波形产生器生成正交频分复用信号

作为雷达发射波形

并对其进行相位编码调制; 其次

将发射波形设计问题转化为最优化问题

以最小化发射信号功率峰均比为目标函数

最大距离旁瓣电平和距离模糊函数包络变化因子为约束构建优化模型; 然后借助序列二次规划法求解该优化模型

得到最优发射波形

提高波形固有分辨能力

进而增强接收端匹配滤波性能。仿真结果表明

该方法能够得到更低的信号峰均比

与时域移位削峰和改进的子载波预留法相比

距离旁瓣性能损失降低了约17.4%和36.9%

且序列长度和初始序列类型对算法性能影响较小。

Abstract

A waveform design method of radars with MIMO is proposed to enhance multi-target classification ability. First

a bunch of phase-coded-modulated orthogonal frequency division multiplexing waveforms is generated through a digital waveform generator

and the design of waveform is converted into an optimization problem. Peak-to-average power ratio(PAPR)is utilized to establish the objective function

and the constraints are the maximum of range sidelobe level and the coefficient of variation of envelope. Then

the sequential quadratic programming algorithm is adopted to solve the optimization problem so that the matched filter performance at receiver is enhanced. Simulation results show that the proposed method obtains a lower PAPR

and comparisons with the clipping and improved tone reservation methods show that the proposed method decreases the loss of range sidelobe level by 17.4% and 36.9%. Moreover

the length of a sequence and the type of an initial sequence have less effect on the performance of the proposed method.

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references

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Related Institution

School of Mechanical and Electrical Engineering, Zhoukou Normal University

实验室

安徽省计算与通讯软件重点实验室

School of Electronics and Information Engineering, Xi'an Jiaotong University

MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University

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