Ambiguity resolution of multiple targets using pulse-Doppler waveforms

To cancel clutter, both medium-PRF waveforms which are ambiguous in both range and Doppler and high-PRF waveforms which are ambiguous in range but unambiguous in ambiguities, a previous paper has shown that superior results for a single target can be achieved by using a clustering algorithm. Here, the problem of multiple targets is considered. A maximum likelihood (ML) technique which incorporates the clustering algorithm is developed for the multiple target problem. Simulation results show that four targets which have the same speed but are at different ranges can be resolved by using a medium-PRF waveform and employing the ML resolution technique. >

[1]  C. Morefield Application of 0-1 integer programming to multitarget tracking problems , 1977 .

[2]  S.A. Hovanessian,et al.  An Algorithm for Calculation of Range in a Multiple PRF Radar , 1976, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Range Resolution of Targets , 1984, IEEE Transactions on Aerospace and Electronic Systems.

[4]  G. V. Trunk,et al.  Range and velocity ambiguity resolution , 1993, The Record of the 1993 IEEE National Radar Conference.

[5]  G. Trunk Range Resolution of Targets Using Automatic Detectors , 1978, IEEE Transactions on Aerospace and Electronic Systems.

[6]  J. Stein,et al.  Generalized Correlation of Multi-Target Track Data , 1975, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Robert W. Sittler,et al.  An Optimal Data Association Problem in Surveillance Theory , 1964, IEEE Transactions on Military Electronics.

[8]  G.V. Trunk,et al.  Track Initiation of Occasionally Unresolved Radar Targets , 1981, IEEE Transactions on Aerospace and Electronic Systems.