这些图可以用MATLAB程序“fig4_2.m”再现,如第4.6节清单4.2所示。 function x = single_pulse_ambg (taup) % 定义函数single_pulse_ambg,输入参数为taup,表示脉冲宽度 colormap (gray(1)) % 设置绘图的颜色映射为灰度图,用于显示结果时的色彩渲染 eps = 0.000001; % 定义一个很小的正数,用来防止后续计算...
MATLAB函数“train_ambg.m” 函数”train_ambg.m”实现式(4.34)。如第4.6节的清单4.7所示。语法如下: train_ambg [taup, n, pri] 图4.8 (a-d)显示了该函数的典型输出,为 function x = train_ambg(taup, n, pri) % 该函数计算模糊图,参数如下: % taup: 脉冲宽度 % n: 脉冲数 % pri: 脉冲重复...
As a side note, there is also something called periodic ambiguity function which is designed for cw signals, but Phased Array System Toolbox currently doesn't offer that. 0 Comments Sign in to comment. More Answers (0) See Also MATLAB Answers ...
matlab code for Ambiguity function of a minimum PSLR biphase pulse 댓글 수: 0 웹사이트 선택 번역된 콘텐츠를 보고 지역별 이벤트와 혜택을 살펴보려면 웹사이트를 선택하십시오. 현재 계...
Definition of ambiguity function; Input parameters for different ambiguity plots of various signals.MozesonEliLevanonNadavIEEE Transactions on Aerospace & Electronic SystemsE. Mozeson and N. Levanon, "MATLAB code for plotting ambiguity functions," IEEE Trans. Aerosp. Electron. Syst., vol. 38, no...
These techniques rely on the fact that modern computers are very fast and that efficient software such as MATLAB and Mathcad is available. For the first technique we develop the ambiguity function as a sequence of range cuts. If we recall the general representation of the ambiguity function we ...
Because of this we investigate numerical techniques for generating the ambiguity function. These techniques rely on the fact that modern computers are very fast and that efficient software such as MATLAB is available. For the first technique we develop the ambiguity function as a sequence of range ...
ylabel('Ambiguity Function (dB)') xlim([-tau_fm tau_fm]*3e5) ylim([-50 0]) title('Ambiguity Function, 0 MHz Doppler Cut') From the preceding figure, one can see that even though the response now has sidelobes, the first null still appears at 1 microsecond, so the range resolution...
This framework sets the stage not only for clarity of the geolocation problem, but a more clear understanding of time and frequency analysis. Finally, important aspects of the cross-ambiguity function are demonstrated in MATLAB. 展开 年份: 2012 ...
and that their underlying utility function was CRRA (with parameterr). We assumed a beta distribution (with parameters) for the stochastic component of their decisions (as described in Sect.3.3). For each subject we proceeded type-by-type, estimating using MATLAB the parameters (α,δ, rands)...