Paper
Optimization-Based Behavioral Modeling of Mixers for Frequency Comb OFDM Radar Processing
Authors
Umut Utku Erdem, Henning Poensgen, Taewon Jeong, Lucas Giroto, Benjamin Nuss, Ibrahim Kagan Aksoyak, Ahmet Cagri Ulusoy, Thomas Zwick
Abstract
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.
Metadata
Related papers
Fractal universe and quantum gravity made simple
Fabio Briscese, Gianluca Calcagni • 2026-03-25
POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan
Marta Moscati, Muhammad Saad Saeed, Marina Zanoni, Mubashir Noman, Rohan Kuma... • 2026-03-25
LensWalk: Agentic Video Understanding by Planning How You See in Videos
Keliang Li, Yansong Li, Hongze Shen, Mengdi Liu, Hong Chang, Shiguang Shan • 2026-03-25
Orientation Reconstruction of Proteins using Coulomb Explosions
Tomas André, Alfredo Bellisario, Nicusor Timneanu, Carl Caleman • 2026-03-25
The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series
Jan Hemmerling, Marcel Schwieder, Philippe Rufin, Leon-Friedrich Thomas, Mire... • 2026-03-25
Raw Data (Debug)
{
"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2602.23889v1</id>\n <title>Optimization-Based Behavioral Modeling of Mixers for Frequency Comb OFDM Radar Processing</title>\n <updated>2026-02-27T10:28:04Z</updated>\n <link href='https://arxiv.org/abs/2602.23889v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2602.23889v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>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.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='eess.SP'/>\n <published>2026-02-27T10:28:04Z</published>\n <arxiv:primary_category term='eess.SP'/>\n <author>\n <name>Umut Utku Erdem</name>\n </author>\n <author>\n <name>Henning Poensgen</name>\n </author>\n <author>\n <name>Taewon Jeong</name>\n </author>\n <author>\n <name>Lucas Giroto</name>\n </author>\n <author>\n <name>Benjamin Nuss</name>\n </author>\n <author>\n <name>Ibrahim Kagan Aksoyak</name>\n </author>\n <author>\n <name>Ahmet Cagri Ulusoy</name>\n </author>\n <author>\n <name>Thomas Zwick</name>\n </author>\n </entry>"
}