In this article, we discuss a novel signal processing technique for adaptive radar that permits joint target-matched illumination and interference avoidance in dynamic spectral environments. This approach allows for spectral coexistence between a radar system and a primary user of the radio frequency space. Spectral coexistence is exploited to allow the use of higher bandwidths than would otherwise be available to conventional radar systems. The technique proposed exploits the relative simplicity of the error reduction algorithm, and also provides a novel use of the masking procedure to allow for target-matched illumination. Practical constraints such as constant modulus are considered in the waveform design procedure, while providing an implied signal-to-interference-plus-noise ratio improvement via the error reduction algorithm. Results for full simulation and hardware-in-the-loop experiments are presented and analyzed. We are able to show a signal-to-interference-plus-noise ratio gain of 40 dB is achieved for the target-matched waveform as compared with a linear frequency modulated waveform. However, the signal-to-interference-plus-noise ratio gain comes at a cost of degraded autocorrelation characteristics of the target-matched illumination waveform, despite only modest levels of primary user spectrum occupancy. Spectral notch depths achieved by the modified error reduction algorithm are approximately 25 dB.

中文翻译：

---

用于目标匹配的快速完全自适应信令

在本文中，我们讨论了一种用于自适应雷达的新型信号处理技术，该技术允许在动态光谱环境中联合目标匹配照明和避免干扰。这种方法允许雷达系统和射频空间的主要用户之间的频谱共存。频谱共存被用来允许使用比传统雷达系统可用的带宽更高的带宽。所提出的技术利用了错误减少算法的相对简单性，并且还提供了掩蔽程序的新用途以允许目标匹配照明。在波形设计过程中考虑了诸如恒模之类的实际约束，同时通过误差减少算法提供隐含的信号干扰加噪声比改进。展示并分析了完整仿真和硬件在环实验的结果。我们能够表明，与线性调频波形相比，目标匹配波形实现了 40 dB 的信号干扰加噪声比增益。然而，信号与干扰加噪声比增益的代价是目标匹配照明波形的自相关特性降低，尽管主要用户频谱占用率只有适度水平。通过改进的误差减少算法实现的频谱陷波深度约为 25 dB。尽管主要用户频谱占用水平适中，但信号干扰加噪声比增益的代价是目标匹配照明波形的自相关特性下降。通过改进的误差减少算法实现的频谱陷波深度约为 25 dB。尽管主要用户频谱占用水平适中，但信号干扰加噪声比增益的代价是目标匹配照明波形的自相关特性下降。通过改进的误差减少算法实现的频谱陷波深度约为 25 dB。