On the Ambiguity Function of OFDM-based ISAC Signals Under Non-Ideal Power Amplifiers
Eya Gourar, Yahia Medjahdi, Laurent Clavier, Abdul Karim Gizzini, Patrick Sondi

TL;DR
This paper investigates how power amplifier nonlinearity affects OFDM-based ISAC signals, revealing that distortions limit sensing performance, reshape the ambiguity function, and diminish the advantages of certain modulation schemes.
Contribution
It provides a theoretical and simulation-based analysis of PA-induced distortions on OFDM ISAC signals, highlighting their impact on the ambiguity function and sensing performance.
Findings
PA distortions impose a performance ceiling on sensing.
Distortions reshape the ambiguity function and reduce detection probability.
Unimodular signaling advantages are compromised under non-ideal PAs.
Abstract
Integrated Sensing and Communications (ISAC) has garnered significant attention as a promising technology for next-generation wireless and vehicular communications. Among candidate waveforms, Orthogonal Frequency Division Multiplexing (OFDM) has been extensively investigated over the past decade for its robustness against frequency-selective fading and its favorable ranging performance. However, the waveform's sensing and communication (S&C) performance depends strongly on the modulation scheme; while variable-amplitude constellations such as quadrature amplitude (QAM) are more efficient for communication, constant-modulus modulations such as phase shift keying (PSK) are more suitable for sensing. Yet, it remains unclear whether these findings persist under power amplifier (PA) nonlinearity. Because OFDM signals exhibit a high peak-to-average power ratio (PAPR), they require highly…
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Taxonomy
TopicsRadar Systems and Signal Processing · PAPR reduction in OFDM · Sparse and Compressive Sensing Techniques
