基于数字调幅广播外辐射源雷达的弱目标检测

发布时间：2018-11-07 13:04

【摘要】：外辐射源雷达面临严重的多径杂波问题,因此要实现对弱目标的检测就必须尽可能地抑制直达波、多径杂波和提高目标的信噪比和信杂比。针对这一问题,在建立新体制雷达空域、时域、频域信号模型的基础上,提出一种空域与时域联合自适应处理技术。通过空域自适应波束形成对强多径方位形成零陷,针对弱多径采用基于横向滤波器的算法从时域上消除。以数字调幅广播外辐射源雷达为例,结合仿真和实测数据对空域与时域联合自适应处理技术进行分析,能够更加有效地检测出弱目标。研究结果表明:该技术能克服空域自适应波束形成方法自由度不足或杂波噪声比低导致的杂波零陷深度不够等缺点,并且能提高目标的信噪比和信杂比。
[Abstract]:External emitter radar is faced with a serious problem of multipath clutter, so in order to detect weak targets, it is necessary to suppress direct wave, multipath clutter and improve the signal-to-noise ratio and signal-to-noise ratio of target as much as possible. In order to solve this problem, a joint adaptive processing technique of spatial domain and time domain is proposed on the basis of establishing the signal model of new system radar in time domain, time domain and frequency domain. Adaptive beamforming in spatial domain is used to form zero trapping of strong multipath azimuth, and a transversal filter based algorithm is used to eliminate the weak multipath in time domain. Taking the external emitter radar of digital amplitude modulation broadcasting as an example, combined with simulation and measured data, the combined adaptive processing technology in airspace and time domain is analyzed, and the weak target can be detected more effectively. The results show that this technique can overcome the shortcomings of the spatial adaptive beamforming method, such as the lack of degree of freedom or the low clutter noise ratio, and can improve the signal-to-noise ratio and signal-to-clutter ratio of the target.
【作者单位】：南昌大学信息工程学院;
【基金】：国家自然科学基金项目(61461030) 江西省自然科学基金项目(20161BAB203079、20161BAB212038、20152ACB21008)
【分类号】：TN957.51

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