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1D DOA Estimation with Partial Covariance Matrix and without Eigendecomposition

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Fast algorithm for 1D AOA with partial Covariance matrix.

Demo.m
%  DOA Estimation 
% This demo implemants  a fast Direction of arrival estimation of Uniform
% Linear array as described in the following paper :
%
% " Fast Algorithm for DOA Estimation with Partial Covariance Matrix and
%   without Eigendecomposition"  
%   Jianfeng Chen, Yuntao Wu,Hui Cao,Hai Wang 
%
%  (c) 2012,KHMOU Youssef 

clear,
N=10; % Uniform linear array ,  Number of sensors
P=2; % Number of sources
Theta=[10 45]; % Directions of arrival


L=100; %  time samples 
Fc=1000000000; % signak frequency Fc=1Ghz
c=299792458 ;% light speed
lambda=c/Fc; % wavelength in meters
d=lambda/2; % space between ULA elements
v=2.9; % Noise variance
s=[10 10] ;
f=Partial_doa(N,P,L,Theta,s,v,Fc);

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