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Purpose
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Wide-band ambiguity function.
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Synopsis
[waf,tau,theta] = ambifuwb(x)
[waf,tau,theta] = ambifuwb(x,fmin,fmax)
[waf,tau,theta] = ambifuwb(x,fmin,fmax,N)
[waf,tau,theta] = ambifuwb(x,fmin,fmax,N,trace)
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Description
ambifuwb calculates the asymetric wide-band ambiguity
function, defined as
| Name |
Description |
Default value |
| x |
signal (in time) to be analyzed (the analytic associated
signal is considered), of length Nx |
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| fmin, fmax |
respectively lower and upper frequency bounds of
the analyzed signal. When specified, these parameters fix
the equivalent frequency bandwidth (both are expressed in
Hz) |
0, 0.5 |
| N |
number of Mellin points. This number is needed when fmin
and fmax are forced |
Nx |
| trace |
if non-zero, the progression of the algorithm is shown |
0 |
| waf |
matrix containing the coefficients of the ambiguity
function. X-coordinate corresponds to the dual variable of
scale parameter ; Y-coordinate corresponds to time delay,
dual variable of frequency. |
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| tau |
X-coordinate corresponding to time delay |
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| theta |
Y-coordinate corresponding to the variable,
where is the scale |
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When called without output arguments, ambifuwb displays the squared
modulus of the ambiguity function by means of contour.
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Example
Consider a BPSK signal (see anabpsk) of 256 points, with a keying
period of 8 points, and analyze it with the wide-band ambiguity
function:
sig=anabpsk(256,8);
ambifunb(sig);
The result, to be compared with the one obtained with the narrow-band
ambiguity function, presents a thin high peak at the origin of the
ambiguity plane, but with more important sidelobes than with the
narrow-band ambiguity function. It means that the narrow-band assumption is
not very well adapted to this signal, and that the ambiguity in the
estimation of its arrival time and mean frequency is not so small.
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See Also
Eric Chassande-Mottin
2005-10-26
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