Radar Receiver Calibration Toolkit

Transcription

1 Radar Receiver Calibration Toolkit Sam Petersen, Ryan Cantalupo Group 108 WPI Major Qualifying Project Wednesday October 16, 2013 This work is sponsored by the Department of the Air Force under Air Force Contract #FA C Opinions, interpretations, conclusions, and recommendations are those of the authors and not necessarily endorsed by the United States Government. DISTRIBUTION STATEMENT A: Approved for public release. Distribution is unlimited.

2 Outline Project Overview Background Receiver Simulation Calibration Tool Calibration Tool Results Conclusion Radar Calibration Toolkit - 2

3 Motivation Group 108 tests aircraft vulnerability using radar systems Fielded radars exposed to varying temperatures and frequencies Receiver gain calibration ensures accurate mission data Flight tests are expensive, involved, and time consuming Limitations of current calibration practices: Requires insertion of test equipment into hardware Restricts test signal waveform to continuous wave Results are not readily available Calibration practices not consistent among operators Radar Calibration Toolkit - 3

4 Project Overview Motivated need for improved calibration process Modeled hardware components in Matlab/Simulink Simulated gain variation over temperature and frequency Developed versatile software toolkit Rapidly displays calibration results Processes both continuous and pulsed waveform data Validated radar calibration model Performed hardware receiver test measurements Compared software calibration against hardware test measurements Radar Calibration Toolkit - 4

5 Outline Project Overview Background Receiver Simulation Calibration Tool Calibration Tool Results Conclusion Radar Calibration Toolkit - 5

6 Radar Cross Section and Gain Radar range equation describes power at receive antenna returning from a target: G t G r λ 2 σ P r = P t 4π 3 R 4 Radar cross section sets maximum detection range of target Received power P r directly proportional to RCS Pt = Power to transmit antenna Pr = Power from receive antenna Gt = Transmit antenna gain Gr = Receive antenna gain λ = Wavelength σ = Radar cross section (RCS) R = Range Known receiver gain is needed to determine receive power (P r ) Rx Antenna P r dbm = P recorded (dbm) G db P r(dbm) Radar Receiver ADC P recorded (dbm) Digital Storage G (db) Radar Calibration Toolkit - 6

7 Radar Cross Section and Gain Radar range equation describes power at receive antenna returning from a target: G t G r λ 2 σ P r = P t 4π 3 R 4 Radar cross section sets maximum detection range of target Received power P r directly proportional to RCS Pt = Power to transmit antenna Pr = Power from receive antenna Gt = Transmit antenna gain Gr = Receive antenna gain λ = Wavelength σ = Radar cross section (RCS) R = Range Known receiver gain is needed to determine receive power (P r ) Rx Antenna P r dbm = P recorded (dbm) G db P r(dbm) Radar Receiver ADC P recorded (dbm) Digital Storage G (db) Radar Calibration Toolkit - 7

8 Radar Cross Section and Gain Radar range equation describes power at receive antenna returning from a target: G t G r λ 2 σ P r = P t 4π 3 R 4 Radar cross section sets maximum detection range of target Received power P r directly proportional to RCS Pt = Power to transmit antenna Pr = Power from receive antenna Gt = Transmit antenna gain Gr = Receive antenna gain λ = Wavelength σ = Radar cross section (RCS) R = Range Known receiver gain is needed to determine receive power (P r ) Rx Antenna P r dbm = P recorded (dbm) G db P r(dbm) Radar Receiver ADC P recorded (dbm) Digital Storage G (db) Radar Calibration Toolkit - 8

9 Output Power (dbm) Radar Receiver Gain Calibration Calibration procedure Bypass receive antenna and input known test signal into receiver Compare input power to output power Increment input power and repeat over entire dynamic range Radar Receiver Gain Curve Signals below noise floor cannot be detected 1 db compression point marks onset of gain saturation Measured Extrapolation Radar Calibration Toolkit Input Power (dbm)

10 Output Power (dbm) Radar Receiver Gain Calibration Calibration procedure Bypass receive antenna and input known test signal into receiver Compare input power to output power Increment input power and repeat over entire dynamic range Radar Receiver Gain Curve Signals below noise floor cannot be detected 1 db compression point marks onset of gain saturation Measured Extrapolation Radar Calibration Toolkit Input Power (dbm)

11 Output Power (dbm) Radar Receiver Gain Calibration Calibration procedure Bypass receive antenna and input known test signal into receiver Compare input power to output power Increment input power and repeat over entire dynamic range Radar Receiver Gain Curve Signals below noise floor cannot be detected Measured Extrapolation db compression point marks onset of gain saturation Error in custom datatip string function 1 db Error in custom datatip string function Input Power (dbm) 2 Radar Calibration Toolkit - 11

12 Outline Project Overview Background Receiver Simulation Calibration Tool Calibration Tool Results Conclusion Radar Calibration Toolkit - 12

13 Receiver Hardware Modeling Model hardware for simulation of gain performance Determine how gain varies with frequency and temperature Quantify need for calibration and encourage use of toolkit Radar Calibration Toolkit - 13

14 Model Data Model uses vendor-tested performance data for standard parts No vendor-tested data available for custom parts Obtained temperature, frequency variation data through testing Implemented in Matlab & Simulink * * * Vendor gain plot and typical data table Radar Calibration Toolkit - 14

15 Receiver Gain (db) Model Results Gain can vary >4 db over entire temperature range 4 db 60.2% error Receiver Model Gain vs. Frequency for -40 C, 25 C, and 85 C 58 X: 3.009e+09 Y: C +25 C +85 C db 56 X: 3.009e+09 Y: db X: 3.009e+09 Y: Frequency (GHz) x 10 9 Radar Calibration Toolkit - 15

16 Receiver Hardware S-band radar receiver used to validate model Low Noise Amplifier Downconverter Radar Calibration Toolkit - 16

17 Hardware Test Measurements Temperature chamber not available to test gain variation on entire receiver Measured receiver gain for different low noise amplifier temperatures 0 C, 25 C, and 50 C Tested over receiver s band of operation Performed temperature testing using a heat gun and EFFA duster Radar Calibration Toolkit - 17

18 Receiver Gain (db) Model and Hardware Test Comparison Simulation of model with LNA at 25 C and 50 C follows same trend as test measurements to within 1 db Receiver Model and Hardware Gain vs. Frequency for LNA temperatures of 25 C and 50 C (system temp. = 25 C) 56.5 X: 3.01e+09 Y: X: 3.01e+09 Y: Hardware, LNA 25 C Hardware, LNA 50 C Model, LNA 25 C Model, LNA 50 C Radar Calibration Toolkit Frequency (GHz) x 10 9

19 Outline Project Overview Background Receiver Simulation Calibration Tool Calibration Tool Results Conclusion Radar Calibration Toolkit - 19

20 Receiver Gain Calibration Setup Standard Mission Radar Receiver ADC Manual Calibration Sig Gen Radar Receiver Signal Analyzer ADC Automated Calibration Sig Gen Radar Receiver ADC Cal Tool Automated calibration tool simplifies hardware configuration Radar Calibration Toolkit - 20

21 Signal Power Computation Signal data stored as In-phase and Quadrature (I/Q) values P out(dbm) = 10log 10 V rms 2 /50Ω 1 mw V rms = A ADC d 2 Where d = ADC counts per volt A ADC = ADC value of signal amplitude A ADC = I 2 + Q 2 Where I = In-phase component of data point Q = Quadrature component of data point P out(dbm) = 10log 10 (I 2 + Q 2 ) 0. 1 d 2 Gain (db) = P out (dbm) P in dbm Radar Calibration Toolkit - 21

22 Signal Power Algorithms Continuous Waveform Signal Power Multiple payloads Convert I/Q to amplitudes Average and convert to power Average Power Value (dbm) Pulsed Signal Power Multiple payloads Average Power Value (dbm) Convert I/Q to amplitudes Find pulse Average and convert to power Radar Calibration Toolkit - 22

23 Output Power (dbm) Calibration Factor Computation Calculate signal power of each recording Calibration factor: gain of receiver in linear region Linear region Input Power (dbm) -80 Radar Calibration Toolkit - 23

24 Calibration Factor Algorithm Determine most linear region Compute standard deviation of consecutive gain values Sliding window method Lowest result is most linear region Average gain values File Name Input Power (dbm) Output Power (dbm) Gain (db) Chan-1.pst Chan-1.pst Chan-1.pst Chan-1.pst Lowest standard deviation Chan-1.pst Chan-1.pst Chan-1.pst Cal factor = average gain = db Radar Calibration Toolkit - 24

25 Output Power (dbm) 1 db Compression Point Computation Input power at which the gain is 1 db less than the cal factor Linear interpolation -5 Cal Receiver Gain Factor: Curve 23.2 db (-34.4, -12.2) Gain: 22.2 db 1 db Comp. Pt. P1dB: dbm Extrapolated Linear Region Input Power (dbm) Radar Calibration Toolkit - 25

26 Calibration Tool Immediate calibration results displayed to operator Radar Calibration Toolkit - 26

27 Outline Project Overview Background Receiver Simulation Calibration Tool Calibration Tool Results Conclusion Radar Calibration Toolkit - 27

28 Output Power (dbm) Receiver Calibration Results 20 0 CW Calibration Tool Results Pulsed Calibration Tool Results Manual Calibration Results Calibration Factor: CW: db Pulsed: db 1 db Compression Point: CW: dbm Pulsed: dbm Input Power (dbm) -140 Broadband noise obscures signal at low signal power levels Radar Calibration Toolkit - 28

29 ADC Counts ADC Counts Improving SNR Recordings for low power input signals have low SNR 2 nd order Butterworth bandpass filter applied First 15,000 out of 20,000 samples discarded due to filter startup time Valid Data Sample Number x Sample Number x 10 4 Recording for -120 dbm input power, before and after filtering Radar Calibration Toolkit - 29

30 Receiver Calibration with Bandpass Filtering Output Power (dbm) CW Results without Filtering CW Results with Filtering Manual Calibration Results Input Power (dbm) Improved results for low power signals -140 Radar Calibration Toolkit - 30

31 Outline Project Overview Background Receiver Simulation Calibration Tool Calibration Tool Results Conclusion Radar Calibration Toolkit - 31

32 Conclusion Analyzed and quantified radar receiver gain variation through simulation and testing Developed a software toolkit for radar receiver calibration and performance measurement Provides rapid feedback on receiver performance Simplifies calibration setup Versatile, useable for many radar systems Tested calibration tool performance with real data Our toolkit will benefit flight test operations in Group 108 Radar Calibration Toolkit - 32

33 Acknowledgments Prof. Ted Clancy Lisa Basile Sarah Curry Bill Cantrell Joe Theriault Radar Calibration Toolkit - 33