Analyze Signal Processing Software for Millimeter-Wave Automotive Radar System by Using a Software Testbench Built by SystemVue

2016 ◽  
Author(s):  
Libo Huang ◽  
Liang Chang ◽  
Jie Bai ◽  
Huanlei Chen
Keyword(s):  
Signal Processing ◽  
Millimeter Wave ◽  
Radar System ◽  
Automotive Radar ◽  
Analyze Signal ◽  
Processing Software

scholarly journals Toward a fully integrated automotive radar system-on-chip in 22 nm FD-SOI CMOS

2021 ◽  
pp. 1-9
Author(s):  
Philipp Ritter
Keyword(s):  
Millimeter Wave ◽  
Flip Chip ◽  
Printed Circuit Board ◽  
Digital Signal ◽  
Cmos Technology ◽  
Radar System ◽  
Circuit Board ◽  
Processing Unit ◽  
Automotive Radar ◽  
On Chip

Abstract Next-generation automotive radar sensors are increasingly becoming sensitive to cost and size, which will leverage monolithically integrated radar system-on-Chips (SoC). This article discusses the challenges and the opportunities of the integration of the millimeter-wave frontend along with the digital backend. A 76–81 GHz radar SoC is presented as an evaluation vehicle for an automotive, fully depleted silicon-over-insulator 22 nm CMOS technology. It features a digitally controlled oscillator, 2-millimeter-wave transmit channels and receive channels, an analog base-band with analog-to-digital conversion as well as a digital signal processing unit with on-chip memory. The radar SoC evaluation chip is packaged and flip-chip mounted to a high frequency printed circuit board for functional demonstration and performance evaluation.

Millimeter-Wave Automotive Radar Using Digital Signal Processing

1993 ◽  
Author(s):  
Masatsugu Kamimura ◽  
Nobukazu Shima ◽  
Kanako Fujiwara ◽  
Yasuhiro Fujita
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Millimeter Wave ◽  
Digital Signal ◽  
Automotive Radar

scholarly journals 76–81 GHz LTCC antenna for an automotive miniature radar frontend

2018 ◽  
Vol 10 (5-6) ◽  
pp. 729-736
Author(s):  
Frank Sickinger ◽  
Ernst Weissbrodt ◽  
Martin Vossiek
Keyword(s):  
Signal Processing ◽  
Low Temperature ◽  
Radiation Pattern ◽  
Power Supply ◽  
Radar System ◽  
Power Supply Unit ◽  
Automotive Radar ◽  
Low Loss ◽  
Radar Sensors ◽  
Ltcc Substrate

AbstractFor a fully 360° detection around a vehicle, novel automotive radar system concepts consist of up to eight radar sensors. The existing sensor-mounting areas, such as front grill or bumper corners would no longer be sufficient. Therefore, additional mounting positions such as B-pillars and side skirts have to be considered, where the radar can observe the side area of the vehicle. However, these new mounting positions usually offer significantly less space, than the established mounting areas. The solution is, to build separate miniature radar frontends that can be placed all over the vehicle and are connected to one central signal processing and power supply unit. Investigations for a miniature radar frontend have been done, based on RF360 low loss non-shrinkage low-temperature cofired ceramic (LTCC) substrate. For the automotive radar band (76–81 GHz), an array antenna has been simulated, manufactured, and the radiation pattern has been measured. A first sensor with a miniature radar frontend based on an LTCC multilayer has been designed and manufactured.

Automotive Radars

2017 ◽  
Author(s):  
Sujeet Patole ◽  
Murat Torlak ◽  
Dan Wang ◽  
Murtaza Ali
Keyword(s):  
Signal Processing ◽  
Pedestrian Detection ◽  
Radar Signal ◽  
Automotive Radar ◽  
Estimation Algorithms ◽  
Radar Systems ◽  
Starting Point ◽  
Processing Techniques ◽  
Automotive Radars ◽  
Signal Processing Techniques

Automotive radars, along with other sensors such as lidar, (which stands for “light detection and ranging”), ultrasound, and cameras, form the backbone of self-driving cars and advanced driver assistant systems (ADASs). These technological advancements are enabled by extremely complex systems with a long signal processing path from radars/sensors to the controller. Automotive radar systems are responsible for the detection of objects and obstacles, their position, and speed relative to the vehicle. The development of signal processing techniques along with progress in the millimeter- wave (mm-wave) semiconductor technology plays a key role in automotive radar systems. Various signal processing techniques have been developed to provide better resolution and estimation performance in all measurement dimensions: range, azimuth-elevation angles, and velocity of the targets surrounding the vehicles. This article summarizes various aspects of automotive radar signal processing techniques, including waveform design, possible radar architectures, estimation algorithms, implementation complexity-resolution trade-off, and adaptive processing for complex environments, as well as unique problems associated with automotive radars such as pedestrian detection. We believe that this review article will combine the several contributions scattered in the literature to serve as a primary starting point to new researchers and to give a bird’s-eye view to the existing research community.

ARSRP Signal Processing Software

1993 ◽  
Author(s):  
Lisa Pflug ◽  
Jerald W. Caruthers ◽  
Richard R. Slater
Keyword(s):  
Signal Processing ◽  
Processing Software
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