On Distributed Radar Networks: Signal Model, Analysis, and Signal Processing

• Published in: IEEE journal of microwaves Vol. 4; no. 3; pp. 329 - 347
• Main Authors: Janoudi, Vinzenz, Schoeder, Pirmin, Grebner, Timo, Appenrodt, Nils, Dickmann, Juergen, Waldschmidt, Christian
• Format: Journal Article
• Language: English
• Published: IEEE 01.07.2024
• Subjects: Automotive; Automotive applications; Azimuth; MIMO communication; multiple-input-multiple-output (MIMO); Radar; Radar antennas; Radar signal processing; signal processing; Vectors
• ISSN: 2692-8388; 2692-8388
• DOI: 10.1109/JMW.2024.3414471

A key aspect of the imaging capability of radar systems is the angular resolution, which is determined by the aperture size of the antenna array. Therefore technologies such as MIMO and especially radar networks consisting of multiple independent MIMO radar sensors seek to maximize the virtual aperture size. Depending on the range and velocity resolution of the MIMO radar network, multistatic aspects must be accounted for. So far, those multistatic effects were seen as errors, which must be compensated for in order to restore the classical DoA properties of the virtual aperture, described by the narrowband beam pattern. This paper shows that new virtual aperture designs with larger antenna spacings are possible while still preserving the angular ambiguity range of smaller antenna spacings, as long as the multistatic effects of distributed radar networks, namely radar networks whose virtual aperture is large in comparison to the range resolution, are correctly accounted for. The larger antenna element spacing enables larger aperture sizes leading to higher angular resolution. This paper illustrates that the well-known, Fourier Tranformation-based signal processing is unable to exploit this potential of distributed radar networks, and an computationally efficient approximated matched filter is proposed. This article presents a signal model for distributed radar networks, suitable signal processing, and a comparison to the well-known Fourier Transformation-based signal processing for compact radar networks. Both the signal model and the proposed signal processing are verified by measurements with a radar sensor network composed of 2 MIMO radar sensors operating in the automotive frequency range of <inline-formula><tex-math notation="LaTeX">76 \,\mathrm{G}\mathrm{Hz}\,\mathrm{to}\, 81 \,\mathrm{G}\mathrm{Hz}</tex-math></inline-formula> providing 64 virtual channels with a range resolution of <inline-formula><tex-math notation="LaTeX">0.03 \,\mathrm{m}</tex-math></inline-formula>. The virtual aperture size of the radar network is <inline-formula><tex-math notation="LaTeX">{\sim }0.5 \,\mathrm{m}</tex-math></inline-formula> with virtual antenna spacing of twice the wavelength, but the proposed signal processing still allows unambiguous DoA estimation within the full <inline-formula><tex-math notation="LaTeX">180 \,\mathrm{^{\circ }}</tex-math></inline-formula> range.