The increasing publicity behind self-driving cars and other public transport gives rise to, amongst other things, the need for new kinds of sensors that have long range, high resolution and provide the basic data to enable discrimination between different types of objects both moving or stationary. In addition, aircraft such as helicopters which are expected to operate in dangerous and normally inaccessible locations also require highly sophisticated sensors. This paper describes a new kind of millimetre wave all weather radar that is small, light, has long range and very high resolution. It uses electronic scanning, monopulse signal processing and IQ mixing to enable multi-target detection. The radar employs a new chipset designed on 4 mil GaAs PHEMT process with Rotman lenses based on lightweight PTFE/ceramic laminates. The complete front end offers good range, excellent RCS performance and would be applicable to both automotive or airborne applications.
Michael Gleaves, Peter Ludlow, Steven Christie, and Peng Liu, "Advanced radar for autonomous vehicles and degraded visual environments," Proc. SPIE 10634, Passive and Active Millimeter-Wave Imaging XXI, 1063402 (Presented at SPIE Defense + Security: April 18, 2018; Published: 8 May 2018); https://doi.org/10.1117/12.2307716.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the proceedings. They include the speaker's narration with video of the slides and animations. Most include full-text papers. Interactive, searchable transcripts and closed captioning are now available for 2018 presentations, with transcripts for prior recordings added daily.
Search our growing collection of more than 16,000 conference presentations, including many plenaries and keynotes.