Five Guidelines for Practical Compressive Sensing with a Case Study in Antenna Pattern Measurement

Compressive sensing (CS) is a signal processing technique that has found applications in numerous fields, providing benefits such as lower power consumption, reduced memory usage, higher resolution, and faster measurement speed. Despite the vast theoretical advancements in CS, its commercial applications have been slow to develop. Moreover, alternative sensing strategies may outperform CS in many real-world scenarios. In a previous publication [1], five guidelines were proposed to facilitate the use of CS in practical applications. In this follow-on article, we delve into each of these guidelines in detail, using compressive antenna pattern measurement as a case study. By understanding the limitations of CS and choosing appropriate applications, the test and measurement community will be able to successfully utilize its benefits in practical systems.