% An array signal parameter maximum likelihood estimator problem

An array signal parameter maximum likelihood estimator variance simulations

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% An array signal parameter maximum likelihood estimator problem
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% Exercise Solution and research topic on course EEL6537
% 22th Feb,2012 Sun Lei [e-mail]
% Last modified : 24th Feb,2012
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% This is the simulation solution for EEL6537 problem set Ex1.1
% This problem is to compare an estimator error with it's CRB.
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% The Original problem is:
% Consider the data set
% x_l = \beta a_vec s_l + e_l, l = 1,...,L,
% where x_l denote the lth M \times 1 data vector,
% a_vec = [1 1 ... 1]^T (an M\times 1 vector)
% \beta is a complex valued unknow scalar to be estimated
% {s_l} is the know signal waveform
% e_l denotes the lth error vector,i.i.d,\sim CN(0,Q).
% Q can check the depended function descriptions
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% dependencies
% gen_observes
% calc_beta
% calc_crb
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