Successive cancelation approach for doppler frequency estimation in pulse doppler radar systems
2010 IEEE 18th Signal Processing and Communications Applications Conference
348 - 351
Item Usage Stats
MetadataShow full item record
In this paper, a successive cancelation approach is proposed to estimate Doppler frequencies of targets in pulse Doppler radar systems. This technique utilizes the Doppler domain waveform structure of the received signal coming from a point target after matched filtering and pulse Doppler processing steps. The proposed technique is an iterative algorithm. In each iteration, a target that minimizes a cost function is found, and the signal coming from that target is subtracted from the total received signal. These steps are repeated until there are no more targets. The global minimum value of the cost function in each iteration is found via particle swarm optimization (PSO). Performance of this technique is compared with the optimal maximum likelihood solution for various signal-to-noise ratio (SNR) values based on Monte Carlo simulations.
Doppler frequency estimation
Monte Carlo Simulation
Maximum likelihood estimation
Monte Carlo methods
Particle swarm optimization (PSO)
Radar target recognition
Signal to noise ratio
Published Version (Please cite this version)http://dx.doi.org/10.1109/SIU.2010.5652208
Showing items related by title, author, creator and subject.
Eryildirim, A.; Onaran, I. (IEEE, 2010-07-07)It is possible to detect and classify moving and stationary targets using ground surveillance pulse-Doppler radars (PDRs). A two-stage support vector machine (SVM) based target classification scheme is described here. The ...
Güngör, Ahmet; Gezici, Sinan (IEEE, 2010)Clutter detection is an important stage of target detection. Clutter may not always appear around zero Doppler frequency when realistic terrain models and moving platforms are considered. Two algorithms developed for clutter ...
Sevimli, R. Akın; Tofighi, Mohammad; Çetin, A. Enis (IEEE, 2014-09)Compressive sensing (CS) idea enables the reconstruction of a sparse signal from a small set of measurements. CS approach has applications in many practical areas. One of the areas is radar systems. In this article, the ...