Paper Info
Title
Hybrid decision and data adaptive antenna array processing for collision avoidance radar
Abstract
In this paper we describe a hybrid data and decision adaptive beam forming and processing strategy using a novel W-band (75-84 GHz) phased array architecture for automotive collision avoidance radars. We use the term `decision adaptive' to denote the situation where the output of a tracking algorithm initializes the weight vector of the antenna array such that the main formed beam can be coarsely steered toward a desired, conjectured target location and clutter can be nulled. We use `data adaptive' in the classic sense where the structure of the data provides fine angular resolution target angle estimates. This is also known as digital beamforming (DBF). This type of approach has three advantages for an automotive radar system: 1) the coarse direction beam weights are stored a priori and a simple look up table is used which makes real time computation trivial; 2) the DBF algorithm is applied at a lower dimension which alleviates both training and computation burdens; and 3) a simplified antenna array system can be used in which the various antenna channels are weighted and pre-combined into subarrays prior to the receiver electronics. This reduces on-chip real estate burden in manufacturing. We will show via analysis and simulation the performance of such a system.
Year
DOI
Venue
2014
10.1109/ICCVE.2014.7297574
2014 International Conference on Connected Vehicles and Expo (ICCVE)
Keywords
Field
DocType
collision avoidance radar,phased array antenna,digital beam forming,radar signal processing
Radar,Lookup table,Beamforming,Radar tracker,Clutter,Antenna array,Phased array,Algorithm,Electronic engineering,Adaptive control,Engineering
Conference
ISSN
Citations 
PageRank 
2378-1289
0
0.34
References 
Authors
2
5
Name
Order
Citations
PageRank
Nikola S. Subotic13918.00
Liping Li217736.54
paul schmalenberg300.68
Jae-Seung Lee45816.02
koji shiozaki500.34