We propose a novel method for blind bistatic radar parameter estimation (RPE), which enables integrated sensing and communications (ISAC) by allowing passive (receive) base stations (BSs) to extract radar parameters (ranges and velocities of targets), without requiring knowledge of the information sent by an active (transmit) BS to its users. The contributed method is formulated with basis on the covariance of received signals, and under a generalized doubly-dispersive channel model compatible with most of the waveforms typically considered for ISAC, such as orthogonal frequency division multiplexing (OFDM), orthogonal time frequency space (OTFS) and affine frequency division multiplexing (AFDM). The original non-convex problem, which includes an ℓ0-norm regularization term in order to mitigate clutter, is solved not by relaxation to an ℓ1-norm, but by introducing an arbitrarily-tight approximation then relaxed via fractional programming (FP). Simulation results show that the performance of the proposed method approaches that of an ideal system with perfect knowledge of the transmit signal covariance with an increasing number of transmit frames.
@article{arxiv.2407.05328,
title = {Blind Bistatic Radar Parameter Estimation for AFDM Systems in Doubly-Dispersive Channels},
author = {Kuranage Roche Rayan Ranasinghe and Kengo Ando and Hyeon Seok Rou and Giuseppe Thadeu Freitas de Abreu and Andreas Bathelt},
journal= {arXiv preprint arXiv:2407.05328},
year = {2024}
}