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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Mixed Mode Radar Coincidence Imaging With Hybrid Excitation Radar Array
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Mixed Mode Radar Coincidence Imaging With Hybrid Excitation Radar Array

机译：混合激励雷达阵列的混合模式雷达符合成像

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摘要

A novel mixed mode radar coincidence imaging (MMRCI) system, which combines the coherent radar detection and incoherent radar coincidence imaging function during the radar coincidence imaging (RCI) process, is presented in this paper. The target location function of the MMRCI system gives the target position information synchronously with imaging tests, and this makes the MMRCI work independently with low target position estimation error. In the MMRCI system, the resolution of target distance estimation is proportional to the whole bandwidth assisted by the double-frequency linear frequency modulation (DFLFM) signal when the occupied bandwidth of the DFLFM signal is less than one-tenth of the whole bandwidth. The target position estimation error caused by the target motion can be reduced effectively so that the image quality of the moving target can be guaranteed in a longer detection time. The RCI is reconstructed using the incoherent part of the transmitting signal. A general relationship between the spatial correlation of the random radiation field in the imaging plane and the deployments of linear random source is analyzed in the paper. The imaging efficiency is ensured through the grading imaging method based on the imaging requirement. The effectiveness of the MMRCI method is validated via a set of simulations and experiments, including superresolution RCI of both stationary and moving targets in various scenes using the convex optimization algorithms.
机译：提出了一种新颖的混合模式雷达符合成像系统，该系统在雷达符合成像过程中将相干雷达检测和非相干雷达符合成像功能相结合。 MMRCI系统的目标定位功能与成像测试同步提供目标位置信息，这使MMRCI独立工作，目标位置估计误差低。在MMRCI系统中，当DFLFM信号的占用带宽小于整个带宽的十分之一时，目标距离估计的分辨率与双频线性调频（DFLFM）信号辅助的整个带宽成比例。可以有效地减少由目标运动引起的目标位置估计误差，从而可以在更长的检测时间内保证运动目标的图像质量。 RCI是使用发射信号的非相干部分重建的。本文分析了成像平面内随机辐射场的空间相关性与线性随机源的部署之间的一般关系。通过基于成像要求的分级成像方法来确保成像效率。通过一系列模拟和实验验证了MMRCI方法的有效性，其中包括使用凸优化算法的各种场景下的静止和运动目标的超分辨率RCI。

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