Signal Detection and Signal Source Integrated System Design

Signal detection Using Rational Function Curve Fitting

In this manuscript, we proposed a new scheme in communication signal detection which is respect to the curve shape of received signal and based on the extraction of curve fitting (CF) features. This feature extraction technique is proposed for signal data classification in receiver. The proposed scheme is based on curve fitting and approximation of rational fraction coefficients. For each symbo...

Intelligent Signal Processing for Integrated Sensor System

Signal Design at lsolated lntersecaions Using Expert Systems Technology

The procedural steps for developing an expert system for designing signals at isolated intersections are described and the most important development issues for each step are discussed. The steps include problem analysis and definition, preliminary prototype specification, knowledge acquisition strategy development, prototype development plan, knowledge extraction, knowledge representation, too...

Radar Signal Detection in K-distributed Clutter by Pade Approximation

In this paper, two suboptimum detectors are proposed for coherent radar signal detection in K-distributed clutter. Assuming certain values for several initial moments of clutter amplitude, the characteristic function of the clutter amplitude is approximated by a limited series. Using the Pade approximation, it is then converted to a rational fraction. Thus, the pdf of the clutter amplitude is o...

Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum

A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autocorrelation function which is a suitable model for ground clutter in most scenarios involving airborne radars. The detector estimates the unknown...