High performance automotive radar signal processing on TI's TDA3X platform

Automotive is an important application of radar. In collision avoidance applications, radar and camera are two main sensors with radar having a healthy share [16]. Usage of radar in the automotive space is expanding beyond range and velocity detection of obstacles to more sophisticated usage of object motion direction estimation [17], precise angular position estimation of obstacles in urban environments [6][7] and ground vehicle localization[15]. As a result, radar processing solutions require complex signal processing with higher programmability. In this paper, we explain the mapping of automotive MIMO radar processing chain on TI's TDA3x platform and highlight the need for a heterogeneous processor architecture with adequate programmability.

[1]  E. J. Kelly.  An Adaptive Detection Algorithm , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Fernando Puente León,et al.  A Joint Integrated Probabilistic Data Association Filter for pedestrian tracking across blind regions using monocular camera and radar , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[3]  Robert H. Macphie.  The Circular Synthetic Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Igal Bilik,et al.  Automotive MIMO radar for urban environments , 2016, 2016 IEEE Radar Conference (RadarConf).

[5]  Igal Bilik,et al.  Pedestrian motion direction estimation using simulated automotive MIMO radar , 2016, IEEE Transactions on Aerospace and Electronic Systems.

[6]  T. Zwick,et al.  Millimeter-Wave Technology for Automotive Radar Sensors in the 77 GHz Frequency Band , 2012, IEEE Transactions on Microwave Theory and Techniques.

[7]  M. Murad,et al.  Requirements for next generation automotive radars , 2013, 2013 IEEE Radar Conference (RadarCon13).

[8]  Manu Mathew,et al.  High Performance Front Camera ADAS Applications on TI's TDA3X Platform , 2015, 2015 IEEE 22nd International Conference on High Performance Computing (HiPC).

[9]  John T. Economou,et al.  Driverless Vehicles and LIDAR: Evaluation of Possible Security Threats on the Open Road , 2015 .

[10]  Capita Selecta : Virtual Reality Sensors in ADAS , 2007 .

[11]  Donald E. Barrick,et al.  FM/CW Radar Signals and Digital Processing , 1973 .

[12]  Vikram V. Appia,et al.  A Diverse Low Cost High Performance Platform for Advanced Driver Assistance System (ADAS) Applications , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[13]  Akshay Gupta,et al.  An Embedded Vision Engine (EVE) for automotive vision processing , 2014, 2014 IEEE International Symposium on Circuits and Systems (ISCAS).

[14]  Beijia Zhang,et al.  Localizing Ground Penetrating RADAR: A Step Toward Robust Autonomous Ground Vehicle Localization , 2016, J. Field Robotics.

[15]  Hermann Rohling,et al.  Radar CFAR Thresholding in Clutter and Multiple Target Situations , 1983, IEEE Transactions on Aerospace and Electronic Systems.