Automotive multi-mode cascaded radar data processing embedded system

Igal Bilik; Shahar Villeval; Daniel Brodeski; Haim Ringel; Oren Longman; Piyali Goswami; Chethan Y.B. Kumar; Sandeep Rao; Pramod Swami; Anshu Jain; Anil Kumar; Shankar Ram; Kedar Chitnis; Yashwant Dutt; Aish Dubey; Stanley Liu

doi:10.1109/RADAR.2018.8378587

Automotive multi-mode cascaded radar data processing embedded system

Igal Bilik
, Shahar Villeval
, Daniel Brodeski
, Haim Ringel
, Oren Longman
, Piyali Goswami
, Chethan Y.B. Kumar
, Sandeep Rao
, Pramod Swami
, Anshu Jain
, Anil Kumar
, Shankar Ram
, Kedar Chitnis
, Yashwant Dutt
, Aish Dubey
, Stanley Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

51 Scopus citations

Abstract

Radars play a major role in providing sensing capabilities for active safety automotive applications. Multi-transmitter and multi-receiver radar systems are becoming popular in order to detect and classify objects in complex urban driving scenarios. This work describes hardware and software modules designed for a multi-mode cascaded radar data processing system. We derive system configuration and data processing requirements based on current state of the art and future multiple-input multiple-output (MIMO) radar processing requirements. The proposed system is expected to meet these requirements with ≤75% AWR12x and < 60% TDA2x utilization.

Original language	English
Title of host publication	2018 IEEE Radar Conference, RadarConf 2018
Publisher	Institute of Electrical and Electronics Engineers
Pages	372-376
Number of pages	5
ISBN (Electronic)	9781538641675
DOIs	https://doi.org/10.1109/RADAR.2018.8378587
State	Published - 8 Jun 2018
Externally published	Yes
Event	2018 IEEE Radar Conference, RadarConf 2018 - Oklahoma City, United States Duration: 23 Apr 2018 → 27 Apr 2018

Publication series

Name	2018 IEEE Radar Conference, RadarConf 2018

Conference

Conference	2018 IEEE Radar Conference, RadarConf 2018
Country/Territory	United States
City	Oklahoma City
Period	23/04/18 → 27/04/18

Keywords

Automotive
Cascade
Multi-mode radar
Multiple Input-Multiple-output
Radar

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/RADAR.2018.8378587

Cite this

Bilik, I., Villeval, S., Brodeski, D., Ringel, H., Longman, O., Goswami, P., Kumar, C. Y. B., Rao, S., Swami, P., Jain, A., Kumar, A., Ram, S., Chitnis, K., Dutt, Y., Dubey, A., & Liu, S. (2018). Automotive multi-mode cascaded radar data processing embedded system. In 2018 IEEE Radar Conference, RadarConf 2018 (pp. 372-376). (2018 IEEE Radar Conference, RadarConf 2018). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/RADAR.2018.8378587

@inproceedings{3a56ac4afffd4115804004e3fa75b18e,

title = "Automotive multi-mode cascaded radar data processing embedded system",

abstract = "Radars play a major role in providing sensing capabilities for active safety automotive applications. Multi-transmitter and multi-receiver radar systems are becoming popular in order to detect and classify objects in complex urban driving scenarios. This work describes hardware and software modules designed for a multi-mode cascaded radar data processing system. We derive system configuration and data processing requirements based on current state of the art and future multiple-input multiple-output (MIMO) radar processing requirements. The proposed system is expected to meet these requirements with ≤75\% AWR12x and < 60\% TDA2x utilization.",

keywords = "Automotive, Cascade, Multi-mode radar, Multiple Input-Multiple-output, Radar",

author = "Igal Bilik and Shahar Villeval and Daniel Brodeski and Haim Ringel and Oren Longman and Piyali Goswami and Kumar, \{Chethan Y.B.\} and Sandeep Rao and Pramod Swami and Anshu Jain and Anil Kumar and Shankar Ram and Kedar Chitnis and Yashwant Dutt and Aish Dubey and Stanley Liu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Radar Conference, RadarConf 2018 ; Conference date: 23-04-2018 Through 27-04-2018",

year = "2018",

month = jun,

day = "8",

doi = "10.1109/RADAR.2018.8378587",

language = "English",

series = "2018 IEEE Radar Conference, RadarConf 2018",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "372--376",

booktitle = "2018 IEEE Radar Conference, RadarConf 2018",

address = "United States",

}

Bilik, I, Villeval, S, Brodeski, D, Ringel, H, Longman, O, Goswami, P, Kumar, CYB, Rao, S, Swami, P, Jain, A, Kumar, A, Ram, S, Chitnis, K, Dutt, Y, Dubey, A & Liu, S 2018, Automotive multi-mode cascaded radar data processing embedded system. in 2018 IEEE Radar Conference, RadarConf 2018. 2018 IEEE Radar Conference, RadarConf 2018, Institute of Electrical and Electronics Engineers, pp. 372-376, 2018 IEEE Radar Conference, RadarConf 2018, Oklahoma City, United States, 23/04/18. https://doi.org/10.1109/RADAR.2018.8378587

Automotive multi-mode cascaded radar data processing embedded system. / Bilik, Igal; Villeval, Shahar; Brodeski, Daniel et al.
2018 IEEE Radar Conference, RadarConf 2018. Institute of Electrical and Electronics Engineers, 2018. p. 372-376 (2018 IEEE Radar Conference, RadarConf 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automotive multi-mode cascaded radar data processing embedded system

AU - Bilik, Igal

AU - Villeval, Shahar

AU - Brodeski, Daniel

AU - Ringel, Haim

AU - Longman, Oren

AU - Goswami, Piyali

AU - Kumar, Chethan Y.B.

AU - Rao, Sandeep

AU - Swami, Pramod

AU - Jain, Anshu

AU - Kumar, Anil

AU - Ram, Shankar

AU - Chitnis, Kedar

AU - Dutt, Yashwant

AU - Dubey, Aish

AU - Liu, Stanley

PY - 2018/6/8

Y1 - 2018/6/8

N2 - Radars play a major role in providing sensing capabilities for active safety automotive applications. Multi-transmitter and multi-receiver radar systems are becoming popular in order to detect and classify objects in complex urban driving scenarios. This work describes hardware and software modules designed for a multi-mode cascaded radar data processing system. We derive system configuration and data processing requirements based on current state of the art and future multiple-input multiple-output (MIMO) radar processing requirements. The proposed system is expected to meet these requirements with ≤75% AWR12x and < 60% TDA2x utilization.

AB - Radars play a major role in providing sensing capabilities for active safety automotive applications. Multi-transmitter and multi-receiver radar systems are becoming popular in order to detect and classify objects in complex urban driving scenarios. This work describes hardware and software modules designed for a multi-mode cascaded radar data processing system. We derive system configuration and data processing requirements based on current state of the art and future multiple-input multiple-output (MIMO) radar processing requirements. The proposed system is expected to meet these requirements with ≤75% AWR12x and < 60% TDA2x utilization.

KW - Automotive

KW - Cascade

KW - Multi-mode radar

KW - Multiple Input-Multiple-output

KW - Radar

UR - https://www.scopus.com/pages/publications/85049970802

U2 - 10.1109/RADAR.2018.8378587

DO - 10.1109/RADAR.2018.8378587

M3 - Conference contribution

AN - SCOPUS:85049970802

T3 - 2018 IEEE Radar Conference, RadarConf 2018

SP - 372

EP - 376

BT - 2018 IEEE Radar Conference, RadarConf 2018

PB - Institute of Electrical and Electronics Engineers

T2 - 2018 IEEE Radar Conference, RadarConf 2018

Y2 - 23 April 2018 through 27 April 2018

ER -

Automotive multi-mode cascaded radar data processing embedded system

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this