Noise analysis of photonic digital-to-analog converters

Abstract

Photonic digital-to-analog converters (PDACs) have a broad application prospect due to the ability to overcome the non-idealities in electronic circuits. PDACs are usually implemented by quantizing and summing the optical intensities of multiple lasers. The relative intensity noise of laser sources plays a critical role in determining the signal-to-noise ratio (SNR) and effective number of bits (ENOB). We present a detailed noise analysis for PDACs. Both the traditional binary-weighted structure and the recently proposed segmented-weighted structure are investigated. The results show that laser noise imposes a fundamental limit to the maximum SNR and ENOB that can be achieved in binary-weighted PDACs, while segmented PDACs can break this limitation and have a continuously increasing SNR with the quantization bit number (QBN). A novel configuration based on laser multiplexing and balanced detection, to the best of our knowledge, is also proposed and analyzed to increase the number of bits when the number of lasers is limited. Numerical simulations are performed to evaluate the SNR evolution with the QBN in different types of PDACs. The results are in good agreement with the theoretical analysis. Our analysis provides useful insights and can be important guidance for implementing high-performance PDACs.