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Detector_CFAR_CA.m
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Detector_CFAR_CA.m
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classdef Detector_CFAR_CA < handle
properties
m_InputData %ññûëêà íà ïàðàìåòðû ýêñïåðèìåíòà
wnd
grd
end
methods
function obj = Detector_CFAR_CA(answer)
%èíèöèàëèçàöèÿ îáíàðóæèòåëÿ
if nargin < 1
obj.wnd = 8;
obj.grd = 2;
else
obj.grd = str2double(answer{1});
obj.wnd = str2double(answer{2});
end
end
function [outSNR,outPd] = calcPd(obj,Pfa,data,noise)
%ìåòîä îòâå÷àåò çà ðàññ÷åòû
[M,N] = size(noise); %ñòðîêè, ñòîëáöû
noise = abs(noise);
data = abs(data);
%% îöåíêà ìîùíîñòè øóìà è ñèãíàëà
noise_power = rssq(noise(:)).^2/M/N; % ðàâíî N0*E/2 ïîñëå ÑÔ | N0 = 1;
signal_power = rssq(data(:,N/2)).^2/M-noise_power; % ðàâíî E^2/2
q = sqrt(2*signal_power/noise_power);
outSNR = abs(10*log10(q));
%% ðàñ÷åò ïîðîãà
data = data';
data = data(:);
Detection_data = zeros(size(data));
for i=obj.grd+obj.wnd+1:length(data)-(obj.grd+obj.wnd)
idxLeft = i-obj.grd-obj.wnd:i-obj.grd-1;
idxRight = i+obj.grd+1:i+obj.grd+obj.wnd;
noiseLeft = rssq(data(idxLeft)).^2/obj.wnd;
noiseRight = rssq(data(idxRight)).^2/obj.wnd;
noiseCA = 0.5*(noiseLeft+noiseRight)/2;
T = sqrt(-2*log(Pfa)*noiseCA);
Detection_data(i) = data(i) >= T;
end
Detection_data = reshape(Detection_data,[],M);
Detection_data = Detection_data';
outPd = sum(Detection_data(:,N/2))/M;
end
function outData = calcPdReal(obj,Pfa,data)
%ìåòîä îòâå÷àåò çà ðàññ÷åòû
%% ðàñ÷åò ïîðîãà
data = data';
data = data(:);
Detection_data = zeros(size(data));
for i=obj.grd+obj.wnd+1:length(data)-(obj.grd+obj.wnd)
idxLeft = i-obj.grd-obj.wnd:i-obj.grd-1;
idxRight = i+obj.grd+1:i+obj.grd+obj.wnd;
noiseLeft = rssq(data(idxLeft)).^2/obj.wnd;
noiseRight = rssq(data(idxRight)).^2/obj.wnd;
noiseCA = 0.5*(noiseLeft+noiseRight)/2;
T = sqrt(-2*log(Pfa)*noiseCA);
Detection_data(i) = data(i) >= T;
end
Detection_data = reshape(Detection_data,[],4096);
Detection_data = Detection_data';
outData = Detection_data;
end
function outPfa = calcPfa(obj,Pfa,noise)
%ìåòîä îòâå÷àåò çà ðàññ÷åòû
[M,N] = size(noise); %ñòðîêè, ñòîëáöû
noise = abs(noise);
data = noise;
data = data';
data = data(:);
Detection_data = zeros(size(data));
for i=obj.grd+obj.wnd+1:length(data)-(obj.grd+obj.wnd)
idxLeft = i-obj.grd-obj.wnd:i-obj.grd-1;
idxRight = i+obj.grd+1:i+obj.grd+obj.wnd;
noiseLeft = rssq(data(idxLeft)).^2/obj.wnd;
noiseRight = rssq(data(idxRight)).^2/obj.wnd;
noiseCA = 0.5*(noiseLeft+noiseRight)/2;
T = sqrt(-2*log(Pfa)*noiseCA);
Detection_data(i) = data(i) >= T;
end
Detection_data = Detection_data';
outPfa = sum(Detection_data)/(M*N);
end
end
end