scholarly journals Variable Forgetting Factor LS Algorithm for Polynomial Channel Model

2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
Amit Kumar Kohli ◽  
Amrita Rai ◽  
Meher Krishna Patel

Variable forgetting factor (VFF) least squares (LS) algorithm for polynomial channel paradigm is presented for improved tracking performance under nonstationary environment. The main focus is on updating VFF when each time-varying fading channel is considered to be a first-order Markov process. In addition to efficient tracking under frequency-selective fading channels, the incorporation of proposed numeric variable forgetting factor (NVFF) in LS algorithm reduces the computational complexity.

2012 ◽  
Vol 433-440 ◽  
pp. 5506-5511 ◽  
Author(s):  
Na Li ◽  
Hao Zhang ◽  
Jing Jing Wang ◽  
T. Aaron Gulliver

Two pulse waveforms are designed and analyzed for 60GHz pulse modulation systems. An indoor frequency selective fading channel model is introduced for single user 60GHz TH-PPM systems. The capacity with this channel model of a 60GHz TH-PPM system based on the designed pulses is derived. Performance results are presented to illustrate the effects of the pulse waveforms and channel properties on the channel capacity.


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