DocumentCode :
1327162
Title :
Processing of real ELT signals for SARSAT
Author :
Chung, Taeyoung ; Carter, C.R.
Author_Institution :
Dept. of Electr. Eng., McMaster Univ., Hamilton, Ont., Canada
Volume :
12
Issue :
1
fYear :
1987
Firstpage :
33
Lastpage :
44
Abstract :
A significant number of lives have been saved by using a new system called search and rescue satellite aided tracking (SARSAT). The program initially involved Canada, the United States and France with the Soviet Union forming a parallel project called COSPAS. Since then, the United Kingdom, Norway and Sweden have joined the program and it is expected that the system will be used worldwide. The performance of several different signal processors using real emergency locator transmitter (ELT) signals is evaluated. These signals have an unusual modulation characteristic which produces unwanted interference due to sidebands. The periodogram gives good performance for coherent ELT signals especially when a ranking and averaging technique is applied. However, the method is incapable of determining the carrier frequency for noncoherent ELT signals. Use of the maximum entropy method (MEM) in detecting these noncoherent ELT signals is demonstrated and it is shown that an effective carrier frequency can be deduced when the signal-to-noise ratio is high.
Keywords :
satellite relay systems; signal detection; signal processing; COSPAS; Canada; FFT; France; MEM; Norway; SARSAT; SNR; Soviet Union; Sweden; UK; USA; United Kingdom; averaging technique; carrier frequency; coherent ELT signals; emergency locator transmitter; interference; maximum entropy method; modulation; noncoherent ELT signals; periodogram; ranking technique; search and rescue satellite aided tracking; sidebands; signal detection; signal processing; signal processors; signal-to-noise ratio; Amplitude modulation; Frequency modulation; Interference; Program processors; Satellite broadcasting; Satellites;
fLanguage :
English
Journal_Title :
Electrical Engineering Journal, Canadian
Publisher :
ieee
ISSN :
0700-9216
Type :
jour
DOI :
10.1109/CEEJ.1987.6593622
Filename :
6593622
Link To Document :
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