Adaptive Frequency Synthesizer for 5G SDR
Munaswamy Pidugu, Priyanka kollu, Josh Arikotla, Rohith Mashetty · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
Traditional frequency synthesizer techniques for scalable Software Defined Radio (SDR) systems often struggle with the high demands of modern applications due to their complex computations and sensitivity to path interference, leading to degraded performance in real-time environments. To address these challenges, designing an efficient and robust frequency synthesizer framework within the SDR system is crucial, particularly for 5G wireless communication systems that require enhanced Quality of Service (QoS). This research introduces a hardware-optimized, reconfigurable digital baseband processing and frequency synthesizer model that incorporates error correction and compensation mechanisms within a Direct Digital Frequency Synthesizer (DDFS). By integrating these mechanisms, the proposed model reduces design complexity while improving tolerance to phase noise, quantization errors, and other nonlinearities, ensuring reliable performance across a wide range of frequency bands. Experimental results and comparative analyses validate the enhanced performance metrics, and exhaustive test bench simulations confirm the functionality and robustness of the system. Index Terms—SDR system, Frequency synthesizer, DDFS, Error correction, Phase noise compensation.