OFDM-Based Remote Sensing Using the 4-D Modified Matrix Pencil Method

Abstract

Increased demands from communications and remote sensing systems on a limited radio frequency (RF) spectrum motivate design of dual-function radar communications (DFRC) systems. Simultaneously performing dual functions from one system circumvents cross-system interference. Orthogonal frequency-division multiplexing (OFDM) waveforms are common in telecommunications, and echoes from targets can be compared with a transmitted signal to isolate phase shifts related to targets’ ranges, velocities, azimuth angles, and elevation angles. By extending the modified matrix enhancement matrix pencil (MMEMP) technique to four dimensions, and compensating for intercarrier interference (ICI), this article presents a method of estimating the phase shifts and thereby the target parameters. The Cramér-Rao lower bound (CRLB) is derived, and differently parameterized fifth-generation new radio (5G NR)-inspired systems are simulated, demonstrating superior precision to Fourier- and multiple signal classification (MUSIC)-based parameter estimation with a much smaller time-frequency resource block.