Fading channel simulator
- Los Alamos, NM
Fading channel effects on a transmitted communication signal are simulated with both frequency and time variations using a channel scattering function to affect the transmitted signal. A conventional channel scattering function is converted to a series of channel realizations by multiplying the square root of the channel scattering function by a complex number of which the real and imaginary parts are each independent variables. The two-dimensional inverse-FFT of this complex-valued channel realization yields a matrix of channel coefficients that provide a complete frequency-time description of the channel. The transmitted radio signal is segmented to provide a series of transmitted signal and each segment is subject to FFT to generate a series of signal coefficient matrices. The channel coefficient matrices and signal coefficient matrices are then multiplied and subjected to inverse-FFT to output a signal representing the received affected radio signal. A variety of channel scattering functions can be used to characterize the response of a transmitter-receiver system to such atmospheric effects.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- DOE Contract Number:
- W-7405-ENG-36
- Assignee:
- United States of America as represented by United States (Washington, DC)
- Patent Number(s):
- US 5191594
- OSTI ID:
- 868688
- Country of Publication:
- United States
- Language:
- English
Some Techniques for the Instantaneous Real-Time Measurement of Multipath and Doppler Spread
|
journal | September 1965 |
Frequency Spread in Ionospheric Radio Propagation
|
journal | April 1967 |
Measurement of random time-variant linear channels
|
journal | July 1969 |
Experimental Confirmation of an HF Channel Model
|
journal | December 1970 |
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Fading channel simulator
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Related Subjects
channel
simulator
effects
transmitted
communication
signal
simulated
frequency
time
variations
scattering
function
affect
conventional
converted
series
realizations
multiplying
square
root
complex
imaginary
independent
variables
two-dimensional
inverse-fft
complex-valued
realization
yields
matrix
coefficients
provide
complete
frequency-time
radio
segmented
segment
subject
fft
generate
coefficient
matrices
multiplied
subjected
output
representing
received
affected
variety
functions
characterize
response
transmitter-receiver
atmospheric
signal representing
scattering function
transmitted signal
channel scattering
fading channel
time variation
communication signal
atmospheric effects
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