Title :
Using range profiles for data association in multiple-target tracking
Abstract :
A parameter, the matching score, is used to discuss the correlation property between range profiles of the same target or different targets. The property that the matching score between range profiles of two consecutive aspects from the same target is greater than that from different targets is utilized to correlate tracks in the multiple-target tracking problem. A data association algorithm based on comparing matching scores is proposed. How the aspect variation size and signal to noise ratio affect the success of data association is discussed.
Keywords :
correlation methods; distance measurement; radar clutter; radar computing; radar cross-sections; radar signal processing; radar tracking; search radar; sensor fusion; target tracking; aspect variation size; correlation property; data association algorithm; high-resolution radar; matching score; multiple-target tracking; radar tracking; range profiles; scattering strength distribution; sensor fusion; signal to noise ratio; time-domain echoes; Frequency; Light scattering; Matched filters; Military satellites; Radar cross section; Radar scattering; Radar tracking; Signal to noise ratio; Spaceborne radar; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
