Compression of wideband IQ samples using linear predictive coding and frame of reference
Van Long Do, Thai Binh Nguyen, Vu Kien Dao, Cuong Hoang Nguyen · 2017
In spectrum monitoring applications, radio signals are often sampled at the speed of several hundreds of MHz by high-performance analog-to-digital converters (ADC). These wideband IQ samples are generally stored in hard drives for offline monitoring purposes such as direction finding or position location. In such scenarios, the lossless compression and decompression of wideband IQ samples helps in reducing storage space as well as increasing reading and writing speeds. In this paper, we propose a novel algorithm for compressing and decompressing wideband IQ samples. The proposed method is based on an elegant combination of the well-known Linear Predictive Coding (LPC) filter and the simple Frame of Reference (FOR) scheme. The experimental results have demonstrated the superior performance of the proposed algorithm in compressing and decompressing wideband IQ samples over conventional data compression techniques.