Digital Signal Processing Reference
In-Depth Information
[ Γ v ( ω )] ij =[ Γ DN ( ω )] ij = sin[ ω ( j − i ) τ 0 ]
ω ( j − i ) τ 0
= sinc [ ω ( j − i ) τ 0 ] .
(2.44)
In this scenario, the gain in SNR, G DN [ h ( ω )], is called the directivity factor
and the directivity index is simply defined as [2], [4]
D [ h ( ω )] = 10 log 10
G DN [ h ( ω )] .
(2.45)
With diffuse noise, the filter h ( ω ) is often found by maximizing the direc-
tivity factor. As a result, the optimal filter is given by (2.38).
The noise comes from a point source at the angle θ N . In this case, the
pseudo-coherence matrix is
Γ v ( ω )= d ( ω, cos θ N ) d H ( ω, cos θ N ) ,
(2.46)
where
T
ωτ 0 cos θ N ···e
( M − 1) ωτ 0 cos θ N
d ( ω, cos θ N )=
(2.47)
1 e
is the steering vector of the noise source. We observe from (2.46) that the
pseudo-coherence matrix is singular. In fact, this is the only possibility
where the gain in SNR, G NS [ h ( ω )], is not upper bounded and can go to
infinity. We deduce that this gain is
2
h H ( ω ) d ( ω, cos0 )
G
NS [ h ( ω )] =
|h H ( ω ) d ( ω, cos θ N ) | 2
1
|h H ( ω ) d ( ω, cos θ N ) | 2 .
=
(2.48)
When the noise and desired signals come from the same direction, i.e.,
when θ N =0
, then there is no possible gain, i.e., G
NS [ h ( ω )] = 1 , ∀h ( ω ).
We also deduce the gain of an N th-order DMA:
1
|B N ( θ N ) | 2 .
G
NS,N ( θ N )=
(2.49)
Figures 2.5, 2.6, and 2.7 depict this gain, as a function of the direction
of the noise, for the different first-order, second-order, and third-order
patterns (dipole, cardioid, hypercardioid, and supercardioid).
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