矢量OFDM雷达的距离像重构

For exiting radars, range profiles are generally reconstructed via matched filtering, thus inevitably leading to range sidelobes. This causes inter-range-cell interference (IRCI), degraded range profile and difficulty in detection and recognition of extended targets. IRCI free range profile reconstruction was achieved by using OFDM radar last year. However, the OFDM radar provides no signal space diversity. Furthermore, the OFDM radar has high peak to average power ratio and low power efficiency. In contrast, we combine vector OFDM and radar, and propose the new concept of vector OFDM radar for the first time. We will develope a new theory of range profile reconstruction which is not based on traditional matched filtering. Both the waveform and range profile reconstruction of vector OFDM radar are quite different from that of traditional radars. Specifically, we study: (1) range profile reconstruction of extended targets based on vector OFDM radar; (2) range profile reconstruction in synthetic aperture radar (SAR) using vector OFDM; (3) range profile reconstruction in MIMO-SAR using vector OFDM;（4）waveform design of vector OFDM radar in deception jamming scenarios.Vector OFDM has the advantages of signal space diversity and lower peak to average power ratio. With these properties, we will reconstruct IRCI free high quality range profiles and improve robustness, power efficiency and anti-interference ability for vector OFDM radar.

传统雷达一般通过匹配滤波形成距离像。但匹配滤波不可避免地造成距离旁瓣，使各距离单元回波之间互相干扰 (IRCI), 降低了图像质量，增加了宽带目标检测和识别的难度。去年新出现的OFDM成像雷达可以得到没有IRCI的距离像，但OFDM雷达波形的峰值功率与平均功率之比（PAPR）高，功率效率低并且没有信号空间分集。本项目首次将矢量OFDM与雷达相结合，提出了矢量OFDM雷达的新概念。我们将构建不依赖于匹配滤波的矢量OFDM雷达距离像重构理论，该雷达的波形（发射端）和距离像重构方法（接收端）均不同于传统雷达。研究内容包括矢量OFDM雷达的扩展式目标距离像重构、合成孔径雷达（SAR）距离像重构、MIMO-SAR距离像重构、抗欺骗干扰的波形设计。本项目将利用矢量OFDM具有信号空间分集，较低的PAPR等特性，实现没有IRCI的高质量距离像，并提高矢量OFDM雷达成像的稳健性，功率效率和抗干扰性能。

传统雷达一般通过匹配滤波形成距离像。但匹配滤波不可避免地造成距离旁瓣，使各距离单元回波之间互相干扰 (IRCI), 降低了图像质量，增加了宽带目标检测和识别的难度。近年来新出现的OFDM成像雷达可以得到没有IRCI的距离像，但OFDM雷达波形的峰值功率与平均功率之比（PAPR）高，功率效率低并且没有信号空间分集。本项目首次将矢量OFDM与雷达相结合，提出了矢量OFDM雷达的新概念。我们将构建不依赖于匹配滤波的矢量OFDM雷达距离像重构理论，该雷达的波形（发射端）和距离像重构方法（接收端）均不同于传统雷达。研究内容包括矢量OFDM雷达的目标检测与距离像重构，合成孔径雷达成像，采用矢量OFDM波形的MIMO雷达的角度估计与SAR 成像，矢量OFDM雷达的抗干扰，矢量OFDM雷达系统的定位和参数估计。通过本项目的研究，提出了多种自适应检测算法，特别是通过利用协方差矩阵的结构信息，大大降低了训练样本的数量，提高了小样本条件下的雷达检测性能，具有实用价值。提出了矢量 OFDM雷达的成像方法和抗干扰方法以及定位和参数估计方法。本研究从一个新的角度丰富和补充了现有的雷达目标检测和成像理论。