The new digital programmable radar systems allow the development of waveform agility technique that can be reconfigured to work with different kinds of waveforms without the introduction of any hardware modification, and it also extends to the combination of the carrier frequency agility, intra-pulse chirp, and pulse repetition frequency jittering. The challenging recognition problem of waveform-agile radar signals results in the difficult implementation of the prior electronic countermeasures and interferences. Meanwhile, the common problem under wideband reception is that multiple overlaps easily occur in the time and frequency domain among sources. In this paper, we take a fresh look at this problem, a method based on matrix transformation is proposed from the perspective of the source independence, to extract the waveform-agile radar sources in the underdetermined receiving scenario. Next, a multi-scale center point detection method is designed to locate and identify the internal waveforms to recognize the whole signal, and an additional box selecting algorithm is proposed to reduce the computing burden. Simulations demonstrate that the developed technique effectively solves the source attribution problem, and also outperforms the traditional methods in recognition performance under low signal-to-noise ratio (SNR).

新的数字可编程雷达系统允许开发波形捷变技术，无需重新配置任何硬件即可将其重新配置为与不同种类的波形一起使用，并且还扩展到载波频率捷变，脉冲内线性调频，和脉冲重复频率抖动。波形捷变雷达信号具有挑战性的识别问题导致现有电子对策和干扰难以实施。同时，宽带接收下的常见问题是，在源之间的时域和频域中容易发生多个重叠。在本文中，我们重新审视了这个问题，从源独立性的角度提出了一种基于矩阵变换的方法，在不确定的接收情况下提取波形捷变雷达源。接下来，设计了一种多尺度中心点检测方法来定位和识别内部波形以识别整个信号，并提出了一种额外的盒选择算法以减轻计算负担。仿真结果表明，该技术有效解决了信源归属问题，在信噪比低的情况下，其识别性能也优于传统方法。