This paper presents an optimization-based behavioral model for mixers driven by multi-tone local oscillator (LO) signals, considered specifically for frequency comb orthogonal frequency-division multiplexing radar applications. Unlike traditional models, the proposed approach is designed and tested for multi-tone LO excitations. The model uses polynomial nonlinearities for both intermediate frequency and LO ports, supported by spectrum-domain fitting that selectively emphasizes strong intermodulation products. In addition, a polynomial block is introduced to capture input power-dependent phase nonlinearity. The approach is validated using circuit-level simulations and supported by measurements. Radar processing results show the model replicates distortive effects in simulations. The proposed model enables rapid system-level performance estimations and waveform optimization, replacing computationally expensive circuit-level simulations.
@article{arxiv.2602.23889,
title = {Optimization-Based Behavioral Modeling of Mixers for Frequency Comb OFDM Radar Processing},
author = {Umut Utku Erdem and Henning Poensgen and Taewon Jeong and Lucas Giroto and Benjamin Nuss and Ibrahim Kagan Aksoyak and Ahmet Cagri Ulusoy and Thomas Zwick},
journal= {arXiv preprint arXiv:2602.23889},
year = {2026}
}