16QAM Predistortion

16QAM predistortion is a signal transmission method that passes through communication channels while being subjected to additive white Gaussian noise (AWGN). Predistortion technology serves as a technical approach to improve signal transmission quality by performing signal processing at the transmitter side to reduce interference and distortion experienced during transmission. This method enhances the signal's anti-interference capability and transmission efficiency, thereby improving overall system performance and data transmission reliability. From an implementation perspective, 16QAM predistortion typically involves applying nonlinear compensation to the baseband signal before modulation. The predistortion algorithm can be implemented using lookup tables (LUTs) or polynomial-based approaches that characterize the inverse of the channel's nonlinear response. Key functions in the implementation include signal constellation mapping, predistortion coefficient calculation, and adaptive algorithm updates based on feedback from the receiver side. The predistorted signal is then modulated using 16QAM constellation points and transmitted through the AWGN channel, where MATLAB's awgn() function or equivalent signal processing libraries can simulate the noise addition process.