An Efficient 76-77 GHz CMOS Receiver on Silicon for Automotive Front-end RADAR Applications

Abstract Recently, automotive RADAR sensors are widely demanded in many intelligent transport vehicles for providing a safe and comfortable environment. This paper presents a novel approach to design an integrated RAdio wave Detection And Ranging (RADAR) receiver for long-range automotive applications operating at frequency range 76-77 GHz. The proposed circuit employs a differential architecture of receiver which consists of a three-stage cascaded / cascoded Low Noise Amplifier (LNA) for very high power gain (39dB), a low power Source Degeneration Doubled Balanced Mixer (SDDBM) and an Intermediate Frequency(IF) filter. This configuration provides excellent stability with a minimum chip size that is best suitable for integrated automotive RADAR used for detecting front collision. A low voltage, low power combined mixer and IF filter for receiver system is also presented for filtering out required band frequency from received RF signal. This combined circuit is designed for power supply of 1V with a power dissipation of 4.9 mW. RC-extracted results are obtained on cadence environments at 45 nm CMOS technology and are compared these with previous state-of-the-art research. Optimized layout size of the LNA, mixer and IF filter are 580x413μm2, 218x240μm2, 240x265μm2 respectively. The scaling results are showing the gilt-edge of the design over existing techniques..

Medienart:

Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:15

Enthalten in:

Silicon - 15(2022), 2 vom: 05. Sept., Seite 1105-1113

Sprache:

Englisch

Beteiligte Personen:

Yadav, Rekha [VerfasserIn]
Dahiya, Pawan Kumar [VerfasserIn]
Mishra, Rajesh [VerfasserIn]
Yadav, Rajesh [VerfasserIn]
Gupta, Neeraj [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

BKL:

58.22 / Kunststofftechnologie / Kunststofftechnologie

Themen:

CMOS
Intelligent transportation system
Low noise amplifier
Mixer
Receiver

Anmerkungen:

© The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:

10.1007/s12633-022-02067-x

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC2133819347