Title :
Noise power estimation under generalized detector employment in automotive detection and tracking systems
Author :
Shbat, Modar Safir ; Tuzlukov, V.
Author_Institution :
Coll. of IT Eng., Kyungpook Nat. Univ., Daegu, South Korea
Abstract :
The noise power estimation process is a vital factor to adaptively define a threshold of target return signal in radar sensor systems and controller area networks (CAN) that are employed to design safety driving applications, collision avoidance systems, and target vehicle tracking systems. This research derives the required detection threshold under implementation of the generalized detector (GD) in frequency modulation continuous wave (FMCW) radar sensor systems for safety driving and tracking applications, for example, under closing vehicle detection. In this paper we propose an appropriate adaptive noise power estimation technique to define the GD threshold based on locally observed noise samples. The improvement in the detection performance reflects an effectiveness of the proposed solution.
Keywords :
CW radar; FM radar; controller area networks; object detection; radar detection; radar imaging; target tracking; CAN; FMCW; GD threshold; automotive detection; collision avoidance systems; controller area networks; frequency modulation continuous wave radar sensor systems; generalized detector employment; noise power estimation process; radar sensor systems; safety driving; target return signal; target vehicle tracking systems; tracking system; Generalized detector (GD); adaptive detection threshold; constant false alarm rate (CFAR); noise power estimation; radar sensor;
Conference_Titel :
Data Fusion & Target Tracking Conference (DF&TT 2012): Algorithms & Applications, 9th IET
Conference_Location :
London
Electronic_ISBN :
978-1-84919-624-6
DOI :
10.1049/cp.2012.0416