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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