scholarly journals Capacity and reliability function per fourth moment cost for WSSUS fading channels

2003 ◽  
Author(s):  
B. Hajek ◽  
V.G. Subramanian
Keyword(s):  
Fading Channels ◽  
Reliability Function ◽  
Fourth Moment

On Improved Noise Variance Estimation for Aeronautical Communications

2013 ◽  
Vol 336-338 ◽  
pp. 1688-1693 ◽  
Author(s):  
Yin Ping Jiang ◽  
Tao Zhang
Keyword(s):  
Fading Channels ◽  
Variance Estimation ◽  
Estimation Error ◽  
Fourth Moment ◽  
Channel Fading ◽  
Noise Variance ◽  
System Type ◽  
Pilot Symbols ◽  
L Band

The L-band Digital Aeronautical Communication System Type-1 (L-DACS1) has been considered as the potential standard for future aeronautical communications. As an important parameter for L-DACS1, the noise variance can be estimated via the well known Second-Moment-Fourth-Moment (M2M4) blind algorithm. However, due to influence from aeronautical fading channels, performance degradation is encountered by conventional M2M4 algorithm in L-DACS1. In this paper, channel responses obtained from L-DACS1 pilot symbols were carried out to compensate the estimation degradation brought by channel fading, which lead to an improved M2M4 algorithm for L-DACS1. It is shown through simulations that the proposed approach outperforms conventional M2M4 estimator in terms of estimation error for L-DACS1 in aeronautical fading channels.

Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels

2009 ◽  
Vol E92-B (12) ◽  
pp. 3606-3615 ◽  
Author(s):  
Chen SUN ◽  
Yohannes D. ALEMSEGED ◽  
Ha Nguyen TRAN ◽  
Hiroshi HARADA
Keyword(s):  
Fading Channels ◽  
Spectrum Sensing ◽  
Rayleigh Fading ◽  
Distributed Sensing ◽  
Rayleigh Fading Channels ◽  
Use Case
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