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cache RSS data for efficiency in computing all timestep SINRs

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This commit is contained in:
Kevin Dee
2026-04-30 10:25:40 -07:00
parent 35702a6ce2
commit 6349212dd5
3 changed files with 87 additions and 10 deletions
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@rfSensor/rfSensor.m
+3 -1
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@@ -14,11 +14,13 @@ classdef rfSensor
% Values computed at initialization
P_TX_dBm = NaN; % Transmit power (dBm)
N = NaN; % Thermal noise
% Cached state (per timestep)
rssCache (:,1) double = double.empty(0,1); % linear-scale RSS to last target grid
end
methods (Access = public)
[obj] = initialize(obj, txPower, bandwidth, centerFreq, rxGain); % initialize sensor, define parameters
[SINR, SNR] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors); % determine sensor performance for a given single sensor and target geometry
[SINR, SNR, obj, otherSensors] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors); % determine sensor performance for a given single sensor and target geometry
[d, t, a] = computePointToPoints(obj, agentPos, targetPos);
[f] = plotParameters(obj); % debug, plot sensor response as a function of distance and tilt angle
[f] = plotPerformance(obj, altitude, otherSensorsPos, otherSensors); % debug, plot SNR or SINR ground heatmap for a given geometry
@rfSensor/sensorPerformance.m
+15 -9
View File
@@ -1,4 +1,4 @@
function [SINR, SNR] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors)
function [SINR, SNR, obj, otherSensors] = sensorPerformance(obj, agentPos, targetPos, otherSensorsPos, otherSensors)
arguments (Input)
obj (1, 1) {mustBeA(obj, "rfSensor")};
agentPos (1, 3) double;
@@ -9,21 +9,27 @@ function [SINR, SNR] = sensorPerformance(obj, agentPos, targetPos, otherSensorsP
arguments (Output)
SINR (:, 1) double;
SNR (:, 1) double;
obj (1, 1) {mustBeA(obj, "rfSensor")};
otherSensors (:, 1) cell;
end
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));
[d, t, a] = obj.computePointToPoints(agentPos, targetPos);
% Performance is measured as SINR for this sensor
%% TODO: how should interference calculation be modified for
% interference sources with different center frequencies and bandwidths?
S = 10 .^ (0.1 .* obj.RSS(d, t, a)); % Signal
I = zeros(size(d)); % Interference from other agents
if isempty(obj.rssCache)
obj.rssCache = 10 .^ (0.1 .* obj.RSS(d, t, a));
end
S = obj.rssCache;
I = zeros(size(d));
for ii = 1:size(otherSensors, 1)
[d_other, t_other, a_other] = otherSensors{ii}.computePointToPoints(otherSensorsPos(ii, 1:3), targetPos);
I = I + 10 .^ (0.1 .* otherSensors{ii}.RSS(d_other, t_other, a_other));
if isempty(otherSensors{ii}.rssCache)
[d_other, t_other, a_other] = otherSensors{ii}.computePointToPoints(otherSensorsPos(ii, 1:3), targetPos);
otherSensors{ii}.rssCache = 10 .^ (0.1 .* otherSensors{ii}.RSS(d_other, t_other, a_other));
end
I = I + otherSensors{ii}.rssCache;
end
SINR = 10*log10(S ./ (I + obj.N));
SNR = 10*log10(S ./ obj.N);
end
end
test/test_rfSensor.m
+69
View File
@@ -74,5 +74,74 @@ classdef test_rfSensor < matlab.unittest.TestCase
tc.testClass.plotPerformance(altitude, otherSensorsPos, otherSensors);
end
function plot_SINR_heterogenous_interferers_efficiently(tc)
P_TX = 1e-3;
BW = 20e6;
f_c = 2e9;
G_RX_dBi = 3;
altitude = 30;
sensor1 = rfSensor;
sensor1 = sensor1.initialize(P_TX, BW, f_c, G_RX_dBi, 0, 0);
sensor2 = rfSensor;
sensor2 = sensor2.initialize(P_TX, BW, f_c, G_RX_dBi, 0, 0);
sensor3 = rfSensor;
sensor3 = sensor3.initialize(P_TX, BW, f_c, G_RX_dBi, 0, 0);
pos1 = [0, 0, altitude];
pos2 = [6, -4, altitude - 1];
pos3 = [-2, 6, altitude];
% Build a shared target grid
distances = -15:0.25:15;
[Xg, Yg] = meshgrid(distances, distances);
targetPos = [Xg(:), Yg(:), zeros(numel(Xg), 1)];
% Call 1: cache empty, does all computations for this timestep
[SINR1, ~, sensor1, others] = sensor1.sensorPerformance(pos1, targetPos, [pos2; pos3], {sensor2; sensor3});
sensor2 = others{1};
sensor3 = others{2};
% Calls 2 and 3 use cached data
[SINR2, ~, sensor2, others] = sensor2.sensorPerformance(pos2, targetPos, [pos1; pos3], {sensor1; sensor3});
sensor1 = others{1};
sensor3 = others{2};
[SINR3, ~, sensor3, ~] = sensor3.sensorPerformance(pos3, targetPos, [pos1; pos2], {sensor1; sensor2});
% All caches should be populated after the three calls
tc.assertNotEmpty(sensor1.rssCache);
tc.assertNotEmpty(sensor2.rssCache);
tc.assertNotEmpty(sensor3.rssCache);
% Plot SINR from each UAV's perspective
sz = size(Xg);
SINR1 = reshape(SINR1, sz);
SINR2 = reshape(SINR2, sz);
SINR3 = reshape(SINR3, sz);
f = figure;
tiledlayout(f, 1, 3, TileSpacing="compact", Padding="compact");
nexttile;
imagesc(distances, distances, SINR1); axis image; set(gca, YDir="normal"); hold on;
scatter(pos1(1), pos1(2), 80, "g", "o", LineWidth=2);
scatter([pos2(1), pos3(1)], [pos2(2), pos3(2)], 80, "r", "x", LineWidth=2);
hold off; cb = colorbar; cb.Label.String = "SINR (dB)"; xlabel("X (m)"); ylabel("Y (m)"); title("SINR: UAV 1");
nexttile;
imagesc(distances, distances, SINR2); axis image; set(gca, YDir="normal"); hold on;
scatter(pos2(1), pos2(2), 80, "g", "o", LineWidth=2);
scatter([pos1(1), pos3(1)], [pos1(2), pos3(2)], 80, "r", "x", LineWidth=2);
hold off; cb = colorbar; cb.Label.String = "SINR (dB)"; xlabel("X (m)"); ylabel("Y (m)"); title("SINR: UAV 2");
nexttile;
imagesc(distances, distances, SINR3); axis image; set(gca, YDir="normal"); hold on;
scatter(pos3(1), pos3(2), 80, "g", "o", LineWidth=2);
scatter([pos1(1), pos2(1)], [pos1(2), pos2(2)], 80, "r", "x", LineWidth=2);
hold off; cb = colorbar; cb.Label.String = "SINR (dB)"; xlabel("X (m)"); ylabel("Y (m)"); title("SINR: UAV 3");
end
end
end