cache RSS data for efficiency in computing all timestep SINRs
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@@ -1,4 +1,4 @@
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function [SINR, SNR] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors)
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function [SINR, SNR, obj, otherSensors] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, "rfSensor")};
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agentPos (1, 3) double;
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@@ -9,21 +9,27 @@ function [SINR, SNR] = sensorPerformance(obj, agentPos, targetPos, otherSensorsP
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arguments (Output)
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SINR (:, 1) double;
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SNR (:, 1) double;
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obj (1, 1) {mustBeA(obj, "rfSensor")};
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otherSensors (:, 1) cell;
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end
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assert(size(otherSensorsPos, 1) == size(otherSensors, 1), "Mismatch in number of other sensor positions (%d) and number of other sensors (%d) provided", size(otherSensorsPos, 1), size(otherSensors, 1));
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[d, t, a] = obj.computePointToPoints(agentPos, targetPos);
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% Performance is measured as SINR for this sensor
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%% TODO: how should interference calculation be modified for
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% interference sources with different center frequencies and bandwidths?
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S = 10 .^ (0.1 .* obj.RSS(d, t, a)); % Signal
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I = zeros(size(d)); % Interference from other agents
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if isempty(obj.rssCache)
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obj.rssCache = 10 .^ (0.1 .* obj.RSS(d, t, a));
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end
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S = obj.rssCache;
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I = zeros(size(d));
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for ii = 1:size(otherSensors, 1)
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[d_other, t_other, a_other] = otherSensors{ii}.computePointToPoints(otherSensorsPos(ii, 1:3), targetPos);
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I = I + 10 .^ (0.1 .* otherSensors{ii}.RSS(d_other, t_other, a_other));
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if isempty(otherSensors{ii}.rssCache)
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[d_other, t_other, a_other] = otherSensors{ii}.computePointToPoints(otherSensorsPos(ii, 1:3), targetPos);
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otherSensors{ii}.rssCache = 10 .^ (0.1 .* otherSensors{ii}.RSS(d_other, t_other, a_other));
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end
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I = I + otherSensors{ii}.rssCache;
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end
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SINR = 10*log10(S ./ (I + obj.N));
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SNR = 10*log10(S ./ obj.N);
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end
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end
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