Proceedings ArticleDOI
On the Impact of Phase Noise on Monostatic Sensing in OFDM ISAC Systems
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TLDR
In this article , the impact of phase noise on monostatic sensing performance was investigated by performing a misspecified Cramér-Rao bound (MCRB) analysis.Abstract:
Phase noise (PN) can become a major bottleneck for integrated sensing and communications (ISAC) systems towards 6G wireless networks. In this paper, we consider an OFDM ISAC system with oscillator imperfections and investigate the impact of PN on monostatic sensing performance by performing a misspecified Cramér-Rao bound (MCRB) analysis. Simulations are carried out under a wide variety of operating conditions with regard to SNR, oscillator type (free-running oscillators (FROs) and phase-locked loops (PLLs)), 3-dB bandwidth of the oscillator spectrum, PLL loop bandwidth and target range. The results provide valuable insights on when PN leads to a significant degradation in range and/or velocity accuracy, establishing important guidelines for hardware and algorithm design in 6G ISAC systems.read more
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Journal ArticleDOI
Monostatic Sensing With OFDM Under Phase Noise: From Mitigation to Exploitation
TL;DR: Simulation results indicate quick convergence of ISAA to the hybrid Cram´er-Rao bound (CRB), as well as its remarkable performance gains over state-of-the-art benchmarks, for both FROs and PLLs under various operating conditions, while showing that the detrimental effect of PN can be turned into an advantage for sensing.
References
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Fundamentals of statistical signal processing: estimation theory
TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
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Journal ArticleDOI
Effects of Phase Noise on OFDM Systems With and Without PLL: Characterization and Compensation
TL;DR: An algorithm for suppressing intercarrier interference due to phase noise in coded orthogonal frequency division multiplexing (OFDM) systems is proposed and achieves as much as one order of magnitude better performance in terms of packet/bit error rate when compared to a receiver with only the common phase error suppression.