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Your Name Your Title Your Organization (Line #1) Your Organization (Line #2) Week 7 Update Joe Hoatam Josh Merritt Aaron Nielsen.

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Presentation on theme: "Your Name Your Title Your Organization (Line #1) Your Organization (Line #2) Week 7 Update Joe Hoatam Josh Merritt Aaron Nielsen."— Presentation transcript:

1 Your Name Your Title Your Organization (Line #1) Your Organization (Line #2) Week 7 Update Joe Hoatam Josh Merritt Aaron Nielsen

2 Outline Radar Terminology Windowing Matlab Simulation Mean Velocity Mean Power Standard Deviations

3 Commonly Used Windows Rectangular Bartlett Hanning Hamming Blackman

4 Commonly Used Windows Type of Window Peak Side Lobe Amplitude (Relative) Approximate Width of Main Lobe Peak Approximation Error (dB) Rectangular-13-21 Bartlett-25 Hanning-31-44 Hamming-41-53 Blackman-57-74

5 Commonly Used Windows

6 Radar terminology SNR (signal to noise ratio)- ratio of a given transmitted signal to the background noise of the transmission medium Nyquist Frequency- it is the frequency just larger than the signal bandwidth is sufficient to allow perfect reconstruction of the signal from the samples. Unambiguity Radial Velocity- It is the maxium velocity detectable without ambiguity Unambiguity Range – the maximum range detectable without ambiguity ZDR- a method to refine rain fall measurements, able to detect hail Sprectrum Width- measurement of velocity distribution in an object

7 Matlab Simulation Code for i=[16,32,64,128,256]; for j=1:25 [h_ts,v_ts]=simSIG(…); [h_temp,h_lag]=xcorr(h_ts,1); psd_temp(j,temp)=h_temp(2)/i; vel_temp(j,temp)=phase(h_temp(3)); end temp=temp+1; end vel_temp=abs(vel_temp * lambda/(4*pi*prt)); psd_ts=mean(dbs(psd_temp)); vel_ts=mean(vel_temp); std_p=std(dbs(psd_temp)); std_v=std(vel_temp);

8 Matlab Simulation

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