On the Use of Compressed Sampling Algorithms for Impairments Compensation in Dynamic Nonlinear Transmitters

Since its introduction, compressed sampling (CS) has found use in various applications ranging from image restoration, radar and sensing to channel and system identification. Recently in the radio frequency (RF) power amplifier (PA) design and linearization communities, there have been many attempts to utilize the CS technique to enable the development of efficient wireless transmitters. This paper provides a brief review of the use of CS in PA and transmitter linearization. Mainly two approaches are discussed: the use of CS to recover amplitude-distorted signals, and the use of CS to reduce the complexity of the digital predistorters. Experimental results obtained using an envelope tracking (ET) PA prototype show the potential and value of the CS technique in developing efficient predistorters at a low computational cost.