Cognitive Waveform Optimization of Wideband MIMO Radars for Imaging Tasks

doi:10.7652/xjtuxb201806017

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Cognitive Waveform Optimization of Wideband MIMO Radars for Imaging Tasks

更新时间：2025-07-09

- Cognitive Waveform Optimization of Wideband MIMO Radars for Imaging Tasks
- Vol. 52, Issue 6, Pages: 114-121(2018)
- 作者机构：
  
  1. 空军工程大学信息与导航学院,西安,710077
  2. 信息感知技术协同创新中心,西安,710077
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201806017
  CLC： TN820
- Online First：10 June 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
Cognitive Waveform Optimization of Wideband MIMO Radars for Imaging Tasks[J]. 2018, 52(6): 114-121.
DOI：

Cognitive Waveform Optimization of Wideband MIMO Radars for Imaging Tasks[J]. 2018, 52(6): 114-121. DOI： 10.7652/xjtuxb201806017.

摘要

为了利用最少的带宽资源

获取多个方向目标满意的成像结果

提出了一种信号带宽动态调整的宽带MIMO雷达认知波形设计方法。通过建立目标一维距离像与发射信号带宽之间的闭环反馈

使雷达可根据目标的粗分辨一维距离像

设计在距离向上每一个散射点所需的最小发射信号带宽。在此基础上

综合考虑发射方向图和在目标方向所合成发射信号的带宽要求

建立波形认知优化模型并对其进行求解

最终实现了多目标观测时发射信号带宽的动态调整。仿真实验表明

在信噪比为-10 dB条件下

该方法可以准确计算出各目标在距离向上最近两散射点之间的距离

并且可在最少消耗带宽资源的条件下实现目标逆合成孔径雷达成像

该成像结果与大带宽线性调频信号的成像结果十分相近。

Abstract

A waveform design method of multiple input and multiple output(MIMO)radars is proposed based on dynamic adjustment of signal bandwidth to obtain satisfied imaging results under the least consumption of bandwidth resource. Firstly

a closed-loop feedback between the range profile and the signal bandwidth is established to design the minimum bandwidth of transmitting signal that can distinguish each scatterer of the target in range direction. Then

a waveform optimization model is established and solved through considering the request of beam pattern and the bandwidth limitation. The dynamic adjustment of the signal bandwidth is finally accomplished. Simulation results show that when signal-to-noise ratio equals to -10 dB

the proposed method accurately calculates the minimum distance between two scatterers in range direction and obtains the inverse synthetic aperture radar imaging results of the targets with the least consumption of bandwidth resource. The results are as good as the those obtained by using large bandwidth LFM signal.

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references

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