دانشگاه صنعتي اصفهان دانشكده برق و كامپيوتر
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دانشگاه صنعتي اصفهان دانشكده برق و كامپيوتر Various Beamformer Structures Suitable For Smart Antennas ارائه کننده: آرش میرزایی (8523754) ارائه مقاله تحقيقي در درس “ SDR ” مدرس: دکتر جواد امیدی نيمسال بهار 1386-1385. What Will We See?. Introduction Signal model Various beamformers - PowerPoint PPT PresentationTRANSCRIPT
اصفهان صنعتي دانشگاهكامپيوتر و برق دانشكده
Various Beamformer Structures Suitable For
Smart Antennas
: کننده ارائه( 8523754آرشمیرزایی )
درس در تحقيقي مقاله ارائه “ SDR”
امیدی: جواد دکتر مدرسبهار 1385-1386نيمسال
What Will We See? Introduction
Signal model
Various beamformers
Comparison
Comparison in presence of look direction errors
Introduction Output
If
and
then
IntroductionOutput power:
So
if x(t): stationary & zero-mean
Then where
Introduction Output components
If
Then
Output components power
then
SNR
Or where
Signal Model Delay due to origin:
Delay in linear array:
Signal Model The signal induced on the reference element due to the kth
source:
the signal induced on the lth element due to the kth source:
the total signal induced due to all M directional sources and background noise on the lth element:
so
Steering Vector Representation steering vector associated with the kth source:
Signal vector:
Output:
array correlation matrix when directional sources are uncorrelated:
Conventional Beamformer also known as the delay-and-sum beamformer
S0 denoting the steering vector in the look direction, the array weights are given by:
Source in look direction:
Random noise environment:
Conventional Beamformer Directional interference:
where
ρ depends on the array geometry and the direction of the interference relative to the look direction.
So if no interference then:
Conventional Beamformer
Null Steering Beamformer Is used to cancel a plane wave arriving from a known
direction. S0 : the steering vector in the direction. S1, …, Sk : k steering vectors associated with k directions. So
Using matrix notation, this becomes
where and
for k=L-1 else
Optimal Beamformer No require acknowledge of directions and power levels of
interference. Maximize the output SNR. The weights are the solution of:
The weights are:
When no directional interference, then optimal : conventional and
If one directional interference and then output SNR
Optimization Using Reference Signal
Minimize mean squared error between the array output and the reference signal ξ(w).
For minimizing
So where
Beam Space Processor Main beam:
Interference beam:
and
Output:
Output power:
Beam Space Processor No signal in interference beamSo
Signal power independent of w.
Maximizing SNR with minimizing output power:
Postbeamformer Interference Canceler (PIC)
Signal beamformer:and
Interference beamformer:
Output:
Output power:
PIC With Conventional Interference Beamformer
Interference beamformer weights:
So:
PIC With Orthogonal Interference Beamformer
Interference beamformer weights:
where
So
No signal suppressing.
PIC With Improved Interference Beamformer
Full suppression of the interference. So
And
Signal power and noise power at the output are independent of interference power.
Output signal power
When & when , depend on
Comparison Comparison of Normalized Signal Power, Interference
Power, Uncorrelated Noise Power and SNR at the Output of the Optimal PIC Forming Interference Beam with CIB, OIB and IIB, ,
Comparison Uncorrelated noise power: in PIC using OIB Pn> in PIC using IIB depend on
if then Pn>else Pn< for ,Pn=
Comparison ESP With PIC In The Presence Of Look Direction Error