# A Wideband Digital Pre-Distortion Algorithm Based on Edge Signal Correction
###### Abstract  
With the continuous expansion of communication bandwidth, accurately modeling the non-linear characteristics of power amplifiers has become increasingly challenging, directly affecting the performance of digital pre-distortion (DPD) technology. The high peak-to-average power ratio and complex modulation schemes of wideband signals further exacerbate the difficulty of DPD implementation, necessitating more efficient algorithms. To address these challenges, this paper proposes a wideband DPD algorithm based on edge signal correction. By acquiring signals near the center frequency and comparing them with equally band-limited feedback signals, the algorithm effectively reduces the required processing bandwidth. The incorporation of cross-terms for model calibration enhances the model fitting accuracy, leading to significant improvement in pre-distortion performance. Simulation results demonstrate that compared with traditional DPD algorithms, the proposed method reduces the error vector magnitude (EVM) from \(1.112\%\) to \(0.512\%\). Experimental validation shows an average improvement of \(11.75\) dBm in adjacent channel power at a \(2\) MHz frequency offset compared to conventional memory polynomial DPD. These improvements provide a novel solution for power amplifier linearization in wideband communication systems. ed 202514 2025 2  
on both the amplified signal and the original signal. An inverse pre-distortion is then applied to the source signal to counteract the inherent non-linear effects of the power amplifier [4]. When the pre-distorted signal passes through the power amplifier, near-ideal linear amplification can be achieved. Thus, the transmission quality and the reliability of wireless communications can be significantly improved [5]. However, as the data transmission rates increase, and the bandwidth of modulated signals expands, the amount of data that DPD algorithms must process also rises [6]. Traditional DPD designs are already unable to effectively handle data bandwidths exceeding hundreds of megahertz. The rapidly increasing computational demands associated with wideband signals present new challenges for DPD design. In the wideband network, the precision of DPD implementation must be continuously enhanced to meet the increasing demands for bandwidth and sampling rates [7]. The significant rise in data volume and computational complexity not only intensifies the technical challenges of implementation but also imposes stringent requirements on hardware performance. Consequently, developing a DPD algorithm, which is capable of effectively managing wideband signals, becomes especially crucial. The objective is to ensure accurate signal processing while substantially reducing the system's computational load [8]. This approach offers an efficient solution for signal linearization in wideband communication systems. Traditional DPD techniques often incur substantial computational loads and exhibit inadequate processing accuracy when calculating model coefficients for wideband signals. Reference [2] proposed a sub-sampling DPD scheme utilizing harmonic mixing; however, it failed to account for the impact of missing signals on the model. To address performance degradation caused by non-ideal characteristics, reference [9] introduced a DPD method that jointly compensates for non-ideal characteristics at both the modulation and demodulation stages. Nonetheless, it did not thoroughly investigate the algorithm itself, rendering it unsuitable for wideband signals. Some researchers have segmented the power amplifier's amplitude into multiple sections, performing low-order modeling on each segment [10]. This approach can reduce the order of the band-limited model and the condition number of the band-limited matrix to some extent, but it remains inadequate for modeling wideband communication scenarios. Linearization around the center frequency is a critical consideration for the performance of wideband signal power amplifiers.