Files
miSim/@rfSensor/rfSensor.m
T

33 lines
1.8 KiB
Matlab

classdef rfSensor
properties (SetAccess = private, GetAccess = public)
% Physical parameters
c = 3e8; % Speed of light (m/s)
k_B = 1.38e-23 % Boltzmann constant (W/Hz/K) for thermal noise model
T_0 = 300; % Ambient temperature (Kelvin) for thermal noise model
% Sensor parameters
P_TX = NaN; % Transmit power (Watts)
BW = NaN; % Bandwidth (Hz)
f_c = NaN; % Center frequency (Hz)
G_RX_dBi = NaN; % Receiver antenna gain
boresightTilt = 0; % Antenna boresight tilt (deg): 0=nadir, 90=horizon
boresightAzimuth = 0; % Antenna boresight azimuth (deg): 0=+y, 90=+x
% 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, 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
end
methods (Access = private)
x = RSS(obj, d, t, a); % Received signal strength (function of distance and tilt angle)
G_TX_dB = transmitterGain(obj, t, a); % TODO Antenna gain for a given TX/RX pair
L_FSPL_dB = pathLoss(obj, d); % Free space path loss for a given TX/RX pair
end
end