SOS and HOS Performance for Processing Satellite Relayed Signal. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 4, Volume 27, Issue 1, March 2002, Page 26-35 PDF (705.13 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2021.142456 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Moawad I.M. Dessouky* 1; Mohey M. Hadhoud2; Abd-elfattah Ibrahim3; Ashraf A. Eltholoth4 | ||||
| 1Department of Electronic Engineering., Faculty of Engineering., Menoufia University., Menouf, Egypt. | ||||
| 2Department of Electronic Engineering., Faculty of Engineering., Menoufia University, Menouf, Egypt | ||||
| 3Departemet of Electronics and Communication Engineering., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt. | ||||
| 4National Telecommunication Institute., Cairo., Egypt | ||||
| Abstract | ||||
| Signal detection in the presence of additive Gaussian noise can be performed using higher order statistics. This paper deals with a processing of single and multiple emergency signals that relayed from the low polar orbit satellite using parametric spectral estimation techniques with Second and Higher Order Statistics. The detection algorithm based on the Second Order Statistics (SOS) using the parametric techniques, which are the Maximum Entropy Method (MEM), and MUltiple Signal Classification (MUSIC) is designed and examined in this paper. Simulation results illustrate successful performance of signal detection at low signal to noise ratio. These proposed methods suppress additive Gaussian noise of unknown power spectrum, detect and characterize the main properties of the transmitted signals. | ||||
|
Statistics Article View: 63 PDF Download: 125 |
||||
