Title :
A novel passive broadband Bayesian detector/tracker
Author :
Shapo, Benjamin ; Bethel, Roy
Author_Institution :
Digital System Resources, Fairfax, VA, USA
Abstract :
This paper introduces CPDF, or “cell probability density function,” a new statistical detecting and tracking algorithm suitable for any imaging array (such as radar or sonar arrays). The input to the algorithm is the 20 array of intensity levels in all beams as a function of time. CPDF is a three-step algorithm. The steps are: pre-processing, detection, and tracking (bearing estimation). CPDF has been very successful in detecting and tracking targets on broadband data collected by sonar arrays, and has excelled in especially challenging scenarios with high bearing rates and multiple crossing targets
Keywords :
Bayes methods; array signal processing; probability; signal detection; sonar arrays; sonar imaging; sonar tracking; statistical analysis; target tracking; CPDF; beam intensity levels; bearing estimation; broadband data; cell probability density function; high bearing rates; imaging array; multiple crossing targets; passive broadband Bayesian detector/tracker; pre-processing; radar arrays; sonar arrays; statistical detection algorithm; statistical tracking algorithm; three-step algorithm; Bayesian methods; Detectors; Direction of arrival estimation; Displays; Frequency; Probability density function; Radar detection; Radar tracking; Sonar detection; Target tracking;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6339-6
DOI :
10.1109/SAM.2000.877975
