full simulation with RF sensors
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+18
-3
@@ -1,4 +1,4 @@
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function [partitioning] = partition(obj, agents, objective)
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function [partitioning, agents] = partition(obj, agents, objective)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, "agent")};
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agents (:, 1) {mustBeA(agents, "cell")};
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@@ -6,6 +6,7 @@ function [partitioning] = partition(obj, agents, objective)
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end
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arguments (Output)
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partitioning (:, :) double;
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agents (:, 1) cell;
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end
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nAgents = size(agents, 1);
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@@ -18,8 +19,22 @@ function [partitioning] = partition(obj, agents, objective)
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% minimum threshold that must be exceeded for any assignment.
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agentPerf = zeros(nPoints, nAgents + 1);
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for aa = 1:nAgents
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p = agents{aa}.sensorModel.sensorPerformance(agents{aa}.pos, ...
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[objective.X(:), objective.Y(:), zeros(nPoints, 1)]);
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if isa(agents{aa}.sensorModel, "sigmoidSensor")
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p = agents{aa}.sensorModel.sensorPerformance(agents{aa}.pos, ...
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[objective.X(:), objective.Y(:), zeros(nPoints, 1)]);
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elseif isa(agents{aa}.sensorModel, "rfSensor")
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otherSensorsIdx = [1:(aa - 1), (aa + 1):size(agents, 1)];
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otherSensors = agents(otherSensorsIdx);
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otherSensorsPos = cell2mat(cellfun(@(x) x.pos, otherSensors, "UniformOutput", false));
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otherSensors = cellfun(@(x) x.sensorModel, otherSensors, "UniformOutput", false);
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[p, ~, agents{aa}.sensorModel, otherSensors] = agents{aa}.sensorModel.sensorPerformance(agents{aa}.pos, ...
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[objective.X(:), objective.Y(:), zeros(nPoints, 1)], otherSensorsPos, otherSensors);
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for k = 1:numel(otherSensorsIdx)
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agents{otherSensorsIdx(k)}.sensorModel = otherSensors{k};
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end
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else
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error("?");
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end
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agentPerf(:, aa) = p(:);
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end
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agentPerf(:, nAgents + 1) = objective.sensorPerformanceMinimum;
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