How do I implement a digital predistortion algorithm on an FPGA for an SDR transmitter?

Implementing a digital predistortion (DPD) algorithm on an FPGA for an SDR transmitter linearizes the power amplifier by applying an inverse nonlinear function to the signal before amplification, so the PA's output is a linearly amplified version of the original signal with reduced spectral regrowth and improved EVM. The implementation involves: modeling the PA's nonlinearity (using a memory polynomial model: y(n) = sum_p sum_q a_pq x x(n-q) x |x(n-q)|^(p-1), where p is the nonlinearity order (typically 3-9), q is the memory depth (0-5 samples), and a_pq are the model coefficients; this captures both the PA's static AM-AM/AM-PM distortion and its memory effects), computing the predistortion function (the DPD function is the inverse of the PA model; the coefficients are computed by: capturing the PA's input and output signals simultaneously using a feedback receiver, computing the PA model coefficients using least-squares regression, and inverting the model to obtain the DPD coefficients), implementing the DPD on the FPGA (the memory polynomial is evaluated for each input sample using multiply-accumulate operations; for a 5th-order polynomial with memory depth 3: 15 coefficients, requiring approximately 15 complex multiplications per sample; at 200 MHz sample rate: approximately 3 GMAC/s, requiring approximately 15-30 DSP48 blocks), and adapting the DPD coefficients (the PA's characteristics drift with temperature and aging, so the DPD must be periodically updated by recapturing the PA's response and recomputing the coefficients; adaptation rate: once per 1-100 ms for typical environments).