An optimised processor for FMCW radar

Styles, Tim; Wildman, Leon

doi:10.1109/eurad.2014.6991316

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…FFT for multi-channel FMCW radar systems must be efficient and have high throughput [15]. A flexible computing unit optimized for FFT has been proposed in [16]. Conventional FFT processors mostly focus on the bit reversal circuit and the algorithm [17], [18], [19].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Real-Time FMCW Radar Baseband Processor in 40-nm CMOS

Guo

Zhao

et al. 2023

IEEE Access

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In this paper, a pipelined frequency-modulated continuous-wave (FMCW) radar baseband processor applied to real-time applications is proposed and implemented in 40-nm CMOS technology. The FMCW radar signal processing time is analyzed according to the system specifications. On the basis of the theoretical analysis and systematic considerations, a pipelined baseband architecture with internal singleport static random access memory (SRAM) is employed. The baseband processor is mainly composed of two-dimensional fast Fourier transform (2D-FFT), two-dimensional constant false alarm rate (2D-CFAR), digital beam-forming (DBF), and memory control modules. The 2D-FFT module is structured with a pipelined scheme and avoids the waste of data transferring time between modules. The 2D-CFAR module is programmable for different applications. The designed address control is proposed to depose the edge cells. The processor occupies a core chip area of 3.353 mm ×3.353 mm and has been tested on the personal computer (PC) and field programmable gate array (FPGA) platform. The power consumption and processing time are also analyzed and compared with other works. The processor consumes 55.65 mW, including SRAMs. The processing time is 12.67 ms with the maximum window size and 256 targets when operating at 125 MHz. This time is estimated based on the assumption that each chirp lasts for 0.04096 ms, and data input takes 10.48 ms. Within this period, the range FFT is completed. The Doppler FFT, 2D-CFAR with the maximum window size, and DBF with 256 targets require 0.80 ms, 1.16 ms, and 0.23 ms respectively.

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Section: Introductionmentioning

confidence: 99%

An Integrated Real-Time FMCW Radar Baseband Processor in 40-nm CMOS

Guo

Zhao

et al. 2023

IEEE Access

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“…It provides highresolution range and velocity data, crucial for indoor navigation [63,64]. Plus, modern FMCW radar systems are compact, power-efficient, and relatively affordable, making them suitable for various applications [65]. With additional methods such as radar online calibration [66], yaw aided RIO fusion [67] and GNSS aided RIO fusion [68], it provides robust and accurate positioning in both challenging indoor and outdoor environments, opening new opportunities in fields like robotics [69],…”

Section: Uav's Odometry and Navigationmentioning

confidence: 99%

Robust flight control and visual/radar-based indoor navigation for autonomous multicopters and their swarms

Jing

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I would like to express my gratitude to Professor Jose A. Martinez-Lorenzo, my esteemed PhD advisor. His innovative thinking, dedication, and ability to secure funding have been instrumental in supporting SICA-Lab students, including myself. Professor Martinez-Lorenzo's guidance and willingness to engage in discussions have been invaluable in solving research challenges throughout my PhD journey. Under his mentorship, I have developed creative thinking and independence as a researcher.I extend my heartfelt thanks to my colleagues at the SICA-Lab for their unwavering dedication and collaborative spirit. Their teamwork has greatly facilitated rapid and high-quality progress in our research endeavors.I am deeply grateful to Professor Rifat Sipahi and Doctor Juan Heredia-Juesas for their generous contributions as members of my PhD committee. Their time and assistance during my dissertation process have been truly appreciated.Furthermore, I would like to express my profound appreciation to my parents. Their boundless love and unwavering support have been my pillar of strength throughout my PhD journey. Their belief in my decisions has bolstered my confidence and determination in pursuing both shortterm and long-term career goals.

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Radar based autonomous sensor module

Styles

2016

Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII

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An optimised processor for FMCW radar

Cited by 3 publications

References 5 publications

An Integrated Real-Time FMCW Radar Baseband Processor in 40-nm CMOS

An Integrated Real-Time FMCW Radar Baseband Processor in 40-nm CMOS

Robust flight control and visual/radar-based indoor navigation for autonomous multicopters and their swarms

Radar based autonomous sensor module

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