Signal Processing Techniques to Reduce the Clutter Competition in Forward Looking Radar

减少前视雷达杂波竞争的信号处理技术

基本信息

  • 批准号:
    EP/H012257/1
  • 负责人:
  • 金额:
    $ 14.13万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2010
  • 资助国家:
    英国
  • 起止时间:
    2010 至 无数据
  • 项目状态:
    已结题

项目摘要

Radar systems placed in the nose of fast moving jets have to detect moving targets, the radial velocity of which is close to that of the surrounding clutter, relative to the platform's speed. A widely used moving target detection strategy for moving platforms is that of space-time adaptive processing (STAP). STAP is now readily applied to the case of a sideways-looking array, where the majority of the clutter occurs along a narrow ridge, which crosses the angle-Doppler graph diagonally. When the array orientation is at an angle (termed the crab angle) to the direction of platform motion, the clutter at a given range no longer occupies the diagonal ridge, but an ellipse. The eccentricity of the ellipse decreases as the crab angle increases, so that when the array is forward-facing with respect to the platform motion, clutter forms a circle on the angle-Doppler plot. It is far more difficult for the STAP to compensate for this clutter because it is now range dependant. As such, ground clutter is range ambiguous, and the clutter arcs at different ranges and angles can interfere with the detection and tracking of targets. Thus the performance of the radar is reduced because of the increased clutter power competing with the target's signal. Current research has concentrated on altering the STAP architecture to cope with the range dependent returns. However, there is already a mechanism which can help mitigate the Doppler-range ambiguities, but which is not used in the adaptive part of the STAP architecture. This, of course, is the matched filter and its ambiguity function. There has been increasing interest in adaptive waveform design in radar research recently, and optimizing the transmitted waveform for the environment has shown to be effective in a number of areas. The aim of the adaptivity proposed for this STAP situation is to reduce the clutter power competing with any target signals which may be present. The waveform design can achieve this by ensuring that the matched filter response to the waveform with an applied Doppler shift is low at the range of the target of interest. This will have the effect of increasing the target power with respect to the competing clutter, and therefore the detection probability of moving targets. The research we propose here is to develop methods to efficiently and adaptively design the transmitted waveform based on the received signals. The study will encompass the use of the received signals, prior knowledge of target and clutter locations, and spatial beam pattern of the array on transmit and receive, in designing the signal.
放置在快速运动的喷气机的头部的雷达系统必须检测运动目标,其径向速度接近于周围杂波的径向速度,相对于平台的速度。空时自适应处理(STAP)是一种广泛使用的运动平台运动目标检测策略。STAP现在很容易应用于侧视阵列的情况,其中大部分杂波沿着一个狭窄的脊出现,该脊对角地穿过角度多普勒图。当阵列方向与平台运动方向成一个角度(称为螃蟹角)时,在给定距离处的杂波不再占据对角脊,而是占据椭圆。椭圆的偏心率随着蟹角的增加而减小,因此当阵列相对于平台运动面向前时,杂波在角度-多普勒图上形成圆形。STAP要补偿这种杂波要困难得多,因为它现在依赖于距离。因此,地杂波是距离模糊的,并且在不同距离和角度的杂波弧可以干扰目标的检测和跟踪。这样,由于杂波功率的增加,与目标信号的竞争,雷达的性能降低。目前的研究集中在改变STAP架构,以科普范围相关的回报。然而,已经存在一种可以帮助减轻多普勒-距离模糊的机制,但是该机制未在STAP架构的自适应部分中使用。当然,这就是匹配滤波器及其模糊函数。近年来,自适应波形设计在雷达研究中越来越受到关注,并且针对环境优化发射波形已被证明在许多领域是有效的。针对这种STAP情况提出的自适应性的目的是减少与可能存在的任何目标信号竞争的杂波功率。波形设计可以通过确保对具有所施加的多普勒频移的波形的匹配滤波器响应在感兴趣的目标的范围处是低的来实现这一点。这将具有相对于竞争杂波增加目标功率的效果,并且因此增加移动目标的检测概率。我们在这里提出的研究是开发方法来有效地和自适应地设计基于接收信号的发射波形。该研究将包括使用接收到的信号,目标和杂波位置的先验知识,以及发射和接收时阵列的空间波束方向图,在设计信号。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence
  • DOI:
    10.1109/tsp.2017.2770086
  • 发表时间:
    2018-03-01
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Shi, Chenguang;Wang, Fei;Salous, Sana
  • 通讯作者:
    Salous, Sana
Transmit beamforming for range ambiguous clutter mitigation in forward-looking STAP radar
发射波束成形可减轻前视 STAP 雷达中的距离模糊杂波
  • DOI:
    10.1049/ic.2011.0162
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wilcox D
  • 通讯作者:
    Wilcox D
On MIMO Radar Subarrayed Transmit Beamforming
Beampattern optimisation for sub-arrayed MIMO radar for large arrays
大型阵列子阵列 MIMO 雷达的波束方向图优化
  • DOI:
    10.1109/array.2010.5613312
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wilcox D
  • 通讯作者:
    Wilcox D
Resolution of two point targets using sub-arrayed MIMO radar
使用子阵列 MIMO 雷达分辨率两点目标
  • DOI:
    10.1109/radar.2010.5494473
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wilcox D
  • 通讯作者:
    Wilcox D
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Mathini Sellathurai其他文献

Turbo-Learning: A Novel Application to MIMO Wireless Communications
  • DOI:
    10.1016/s1474-6670(17)41641-7
  • 发表时间:
    2001-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Simon Haykin;Mathini Sellathurai
  • 通讯作者:
    Mathini Sellathurai
Low probability of intercept-based distributed MIMO radar waveform design against barrage jamming in signal-dependent clutter and coloured noise
基于拦截的低概率分布式 MIMO 雷达波形设计,对抗信号相关杂波和有色噪声中的弹幕干扰
  • DOI:
    10.1049/iet-spr.2018.5212
  • 发表时间:
    2019-05
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    时晨光;汪飞;Mathini Sellathurai;周建江
  • 通讯作者:
    周建江
Secrecy Capacity Analysis Using Nonlinear Transmissions for Physical Layer Security
  • DOI:
    10.1007/s11277-024-11294-x
  • 发表时间:
    2024-06-25
  • 期刊:
  • 影响因子:
    2.200
  • 作者:
    Jieling Wang;Zhiqian Wang;Mathini Sellathurai;Ba-Zhong Shen;Yejun Zhou
  • 通讯作者:
    Yejun Zhou

Mathini Sellathurai的其他文献

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{{ truncateString('Mathini Sellathurai', 18)}}的其他基金

A Unified Multiple Access Framework for Next Generation Mobile Networks By Removing Orthogonality (MANGO)
通过消除正交性实现下一代移动网络的统一多址接入框架 (MANGO)
  • 批准号:
    EP/P009670/1
  • 财政年份:
    2017
  • 资助金额:
    $ 14.13万
  • 项目类别:
    Research Grant
Large Scale Antenna Systems Made Practical: Advanced Signal Processing for Compact Deployments [LSAS-SP]
大规模天线系统变得实用:用于紧凑部署的高级信号处理 [LSAS-SP]
  • 批准号:
    EP/M014126/1
  • 财政年份:
    2015
  • 资助金额:
    $ 14.13万
  • 项目类别:
    Research Grant
Advanced signal processing techniques for multi-user multiple-input multiple-output broadband wireless communications.
用于多用户多输入多输出宽带无线通信的先进信号处理技术。
  • 批准号:
    EP/D07827X/1
  • 财政年份:
    2007
  • 资助金额:
    $ 14.13万
  • 项目类别:
    Research Grant

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