In practical radar signal processing, real-time performance is an important consideration. How does your method perform in terms of real-time processing?
In practical radar signal processing, the real - time performance of our proposed method is quite good. The blind source separation (BSS) technique used in our method, such as the SOBI method adopted in the experiment, has been proven to be efficient in separating mixed radar signals. It can quickly isolate single - radar - signal pulse flows from the signals received by a one - dimensional uniform antenna array. The subsequent processing steps, including Hilbert transform, envelope extraction, and waveform shaping, are designed in a relatively straightforward and computationally - efficient manner. For example, the threshold - setting method based on a fixed percentage of the envelope amplitude simplifies the operation. In the experiment, with a reasonable number of antenna array elements ($M = 5$) and radars ($K = 5$), and a sampling frequency of $300$ MHz, the method can accurately estimate the PRI. In real - world scenarios, although the signal environment may be more complex, the basic processing framework of our method is scalable. We can further optimize the algorithm by using parallel computing techniques on modern high - performance GPUs. This will significantly reduce the processing time, enabling the method to meet the real - time requirements of practical radar signal processing.
