Performance Evaluation of Target Tracking Using Various Filters
Journal: International Journal of Scientific Engineering and Technology (IJSET) (Vol.2, No. 6)Publication Date: 2013-06-01
Authors : Nekkala Sateesh P.Chandrasekhar;
Page : 539-544
Keywords : Adaptive Pulse Compression; Barker code; Kalman Filter; LMMSE; Matched Filter; Reflectors; SNR.;
Abstract
Modern radar systems are faced with detection of closely spaced targets with high power ratios between strong and weak reflectors. A Bi-phase code (Barker code) and corresponding decoding filters which are optimal in the sense that they produce no side lobes and they maximize the signal-to-noise ratio (SNR). The theoretical performance of the reiterated filtering technique based on the Linear Minimum Mean Square Error (LMMSE), as implemented in the Adaptive Pulse Compression (APC) scheme, is derived and compared with the matched filter (MF) and Kalman filter. The objective of this work is to analyze the performance of reiterated LMMSE based on APC filter in comparison to MF, Kalman Filter and to optimize the erro
Other Latest Articles
- Study of Performance Characteristics of Diesel Engine Fuelled with Diesel, Yellow Grease Biodiesel and its Blends
- EZW Algorithm and Computation of Its Coefficients for Image Compression by Using “Bottom-Up” Approach
- Combating Cross Phase Modulation and its Polarisation Effects in Dense Wavelength Division Multiplexed Systems
- DDT and HCH Residue Load in Animal’s and Mother’s Milk of Lakhimpur Kheeri (Rural areas), Uttar Pradesh-India
- Near Sub-Wavelength Texturization Of Silicon Surfaces For Solar Cell Applications
Last modified: 2013-06-08 21:04:57