💥1 概述
在MPR中基于三维AOA定位的两个代数解，称为特征向量（EV）解和偏置减少（BR）解。
📚2 运行结果
🎉3 参考文献
[1]马婧. 基于UWB信号的单基站定位算法研究及AOA定位研究[D].中国海洋大学,2013.
👨💻4 Matlab代码
主函数部分代码：
clear all; %clc; warning off % ========================================= % im = 1: performance vs noise power (Figs. 3-6) % im = 2: perforamnce vs sensor position errors (Figs. 7-10) % im = 3: performance vs source range (Figs. 11-14) % ========================================= im = 1; % -- settings -- senPosTrue = [ % sensor positions 0 0 0 -13.1 22.3 -32.4 34.6 44.4 15.5 30.5 -29.4 18.4 9.9 29.2 -8.4 -7.4 48.0 -3.5 4.5 -0.9 21.7 -47.2 -7.3 29.1 ]'; thetaSrc = 22.13*pi/180; % source azimuth phiSrc = 15.41*pi/180; % source elevation [N,M] = size(senPosTrue); models = ['nse';'err';'rag']; model = models(im,:); switch model case 'nse' % ******* vs. noise power config, Fig. 3-6 ******* nsePwr = -70:10:20; % 10log(rad^2) srcRange = 200; % m errLvl = -20; case 'err' % ******* vs. sensor position error level config, Fig. 7-10 ******* nsePwr = -50; % 10log(rad^2) srcRange = 200; % m errLvl = -60:10:40; case 'rag' % ******* vs. range config, Fig. 11-14 ******* nsePwr = -20; % 10log(rad^2) srcRange = [20,50:50:800]; % m errLvl = -20; end
