Target detection algorithm using independent component analysis for pulse Doppler radar

Clutter Detection in Pulse-doppler Radar Systems

CLUTTER DETECTION IN PULSE-DOPPLER RADAR SYSTEMS Ahmet Güngör M.S. in Electrical and Electronics Engineering Supervisor: Assist. Prof. Dr. Sinan Gezici August 2010 Among various types of radar systems, the pulse-Doppler radar is the most widely used one, especially in military applications. Pulse Doppler radars have a primary objective to detect and estimate the range and the radial velocity of...

A Soft-Input Soft-Output Target Detection Algorithm for Passive Radar

Abstract: This paper proposes a novel scheme for multi-static passive radar processing, based on soft-input soft-output processing and Bayesian sparse estimation. In this scheme, each receiver estimates the probability of target presence based on its received signal and the prior information received from a central processor. The resulting posterior target probabilities are transmitted to the c...

Radar Waveform Design For High Resolution Doppler Target Detection

This paper addresses the problem of optimum waveform design for multiple target detection. The notion of poly-semantic radar, which gave improved performance through coincidence detection, is analyzed for high resolution radar system in presence of high density additive noise and Doppler shift. These sequences are optimized by employing Hamming backtrack algorithm (HBT). The detection capabilit...

Chapter 17 Pulse Doppler Radar

Multivariate Outlier Detection Using Independent Component Analysis

The recent developments by considering a rather unexpected application of the theory of Independent component analysis (ICA) found in outlier detection , data clustering and multivariate data visualization etc . Accurate identification of outliers plays an important role in statistical analysis. If classical statistical models are blindly applied to data containing outliers, the results can be ...