PTS Technique for Peak-to-Average Power Ratio Reduction

The Partial Transmit Sequence (PTS) technique is an effective method for reducing the Peak-to-Average Power Ratio (PAPR), widely applied in broadband communication systems such as OFDM. High PAPR causes power amplifiers to operate in nonlinear regions, degrading signal quality and increasing power consumption. The PTS technique partitions the original signal into multiple sub-blocks, performs phase optimization on each sub-block independently, and selects the combination with the lowest PAPR for final transmission. In code implementation, this typically involves iterating through possible phase rotation vectors (e.g., using BPSK or QPSK rotation factors) and computing the PAPR for each combination using IFFT operations.

Compared to systems without PAPR suppression techniques, PTS significantly improves the Complementary Cumulative Distribution Function (CCDF) curve of the signal. The CCDF curve measures the probability of signal peak power occurrence. After PTS optimization, the probability of high-power regions decreases noticeably, resulting in a more stable signal and reduced risk of nonlinear distortion. Algorithmically, the CCDF is calculated by comparing signal amplitudes against threshold values across multiple OFDM symbol iterations, often visualized using logarithmic probability plots in MATLAB or Python simulations.

In practical applications, PTS performance depends on sub-block partitioning strategies, phase rotation factor selection, and computational complexity. Although PTS effectively reduces PAPR, there is a trade-off between computational overhead and performance improvement. Optimized CCDF comparison plots can intuitively demonstrate the advantages of PTS, making them suitable for algorithm validation or system performance evaluation. Code implementations often leverage optimization techniques like genetic algorithms or gradient descent to reduce search complexity for phase factors, while maintaining performance gains.