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Range Results
Test Cases
General paramters
- L=# of pulses = 4
- TW = time-bandwidth product = 64
- p = oversampling factor = 3
- M = interpulse period = 300
- n = noise factor = .2 (correspond to SNR of -10dB for received signal)
- sampfreq = sampling frequency = (20*(10 ^6)) Hz
Note:
The sampfreq value of 20*(10^6) Hz was given in "Computer-Based Exerciese for Signal Processing Using MATLAB" by Burrus [ et al.] as an example sampling frequency to useNote:
The paramter "Time Delay" (i.e. TD) is the amount by which the user wants to shift his vector by (i.e. not units of time)Note:
The max range that could be accounted for according to equations based in "Approach for Range" module was 8190 meters (8.2 kilometers)Test Case 1
Simulate a Time Delay of 5 (TD = 5)
Matlab function call
[noisytestecho,noisyshifttestecho,rsigmatchlocs,timedelay,range,h]=burst4(4,64,3,300,.2,(20*(10 ^6)),5);
Test Case 2
Simulate a Time Delay of 30 (TD = 30)
Matlab function call
[noisytestecho,noisyshifttestecho,rsigmatchlocs,timedelay,range,h]=burst4(4,64,3,300,.2,(20*(10 ^6)),30);
Test Case 3
Simulate a Time Delay of 45(TD = 45)
Matlab function call
[noisytestecho,noisyshifttestecho,rsigmatchlocs,timedelay,range,h]=burst4(4,64,3,300,.2,(20*(10 ^6)),45);
Test Case 4
Simulate a Time Delay of 65(TD = 65)
Matlab function call
[noisytestecho,noisyshifttestecho,rsigmatchlocs,timedelay,range,h]=burst4(4,64,3,300,.2,(20*(10 ^6)),65);
Test Case 5
Simulate a Time Delay of 100 (TD = 100)
Matlab function call
[noisytestecho,noisyshifttestecho,rsigmatchlocs,timedelay,range,h]=burst4(4,64,3,300,.2,(20*(10 ^6)),100);
Test Case 6
Simulate a Time Delay of 200 (TD = 200)
Matlab function call
[noisytestecho,noisyshifttestecho,rsigmatchlocs,timedelay,range,h]=burst4(4,64,3,300,.2,(20*(10 ^6)),200);
Plot examples (for test case 1)
| Transmitted Chirptrain Noise Free |
|---|
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| ShiftedTime-DelayedChirptrainwithNOISE |
|---|
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| Matchedfilteroutputfortransmittedsignal |
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| Matchedfilteroutputforrecievedsignal |
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| Locationofpickedoutpeaksintransmittedsignal |
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| Locationsofpickedoutpeaksinrecievedsignal |
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 |
Note:
The starting value of the past two graphs are at n = 1Analysis of Results
Overall result of test cases given by a graph of the %error of the range approximation compared to "radar" from "Computer-Based Exerciese for Signal Processing Using MATLAB" by Burrus [ et al.] (see pages 328-329 for definition of parameters and function)
| %errorinrange2 |
|---|
 |
Method of Error Calculation
The % error was calculated by first taking the returned value for range from our developed program and using that as an input to the "radar" function from Burrus [ et al.]. The resulting waveform generated is then put through the same match filter as our simulated received wave. A comparison of the location of the 1st peaks is then done and the absolute value of the difference is taken. The value is then divided by the difference from the right most edge of "radar" 's first chirp to the end of the signal.
Comment on % Error
The % error increased in a direct proportional to however larger we made the new TD value. Thus, if a shift of TD=900 was applied, the % error was 9 times greater than in test case 5 ( TD = 100), it was in fact about 55.89%.
Where to Next
Next, look at "RADAR:Velocity Analysis" as next step.
Comments, questions, feedback, criticisms?
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This work is licensed by Amit Aggarwal and Erlend Hansen under a Creative Commons Attribution License (CC-BY 1.0), and is an Open Educational Resource.
Last edited by Erlend Hansen on Dec 20, 2003 2:12 pm US/Central.