EE Seminar: Channel Estimation in Presence of Strong Phase Noise In Both Transmitter and Receiver
הרישום לסמינר יבוצע באמצעות סריקת הברקוד למודל (יש להיכנס לפני כן למודל, לא באמצעות האפליקציה)- הרישום מסתיים ב- 15:10
Registration to the seminar will be done by scanning the barcode for the Moodle (Please enter ahead to the Moodle, NOT by application)- Registration ends at 15:10
Electrical Engineering Systems Seminar
Speaker: Tal Shaham
M.Sc. student under the supervision of Dr. Dan Raphaeli
Wednesday, 16th July 2025, at 15:00
Room 011, Kitot Building, Faculty of Engineering
Channel Estimation in Presence of Strong Phase Noise In Both Transmitter and Receiver
Abstract
In this work, we present a novel algorithm for multipath channel estimation for a known preamble sequence in the presence of significant phase noise (PHN) that affects both transmitter and receiver oscillators. The PHN exists in both the receiver and the transmitter and is assumed to vary significantly over the channel length, so it is not possible to approximate the PHN to appear only in one of them. The nonlinearity induced by PHN presents obstacles for conventional linear channel estimation algorithms such as least squares, linear MMSE, or Kalman filters.
To address this challenge, we introduce an algorithm based on sequential Monte Carlo methods, also known as Particle Filter. The algorithm’s initial condition is derived using a novel low-complexity windowing method. In addition, we suggest a specially designed preamble sequence that further improves the performance.
Index Terms—Particle filter, sequential Monte Carlo methods, importance sampling, phase noise, linear modulation, and channel estimation.
