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Published byAllyson Stone Modified over 9 years ago
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An RFI Mitigation Strategy for the Allen Telescope Array Geoffrey C. Bower UC Berkeley
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The Allen Telescope Array 350 element interferometer 6.1 m offset Gregorians 0.5-11.2 GHz Science goals – SETI – HI survey machine – Transient radio sources
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Strategy Overview Know the enemy Put many arrows in the quiver – No Magic Bullets Exploit large N capability Implement at all levels
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Available Tools Modeling of environment Measurement Real time strategies
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RFI Modeling: Hat Creek Terrain
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RFI Modeling: Free Space 3 x 3 degree region centered at Hat Creek Contours of path loss Visualyse simulation
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RFI Modeling: ITU-R P.526 Model includes topography, diffraction, tropospheric scatter, ducting/layer reflection, fade Future modeling: frequency, scale, model parameters, Longley-Rice
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RFI Monitor Simple design – Discone antenna – Broadband amp – Spectrum analyzer – Linux PC on ‘net 0.1 to 10 GHz – 0.3 to 3 GHz currently Isotropic sensitivity
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… (One of) the Enemies is Us
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Is Glonass Present at 1612 MHz?
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Tracking Glonass
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…The Enemy is Us, Part 2
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And Tracking GPS
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Aircraft DME
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RFI Sources Detected at Hat Creek Self-interference Satellites --- GPS, Iridium, DARS Aircraft Radar TV, cell phone, pager Microwave ovens
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Real Time RFI Mitigation Monitoring Artificial horizons around known interferers Time Blanking Adaptive canceling Interferometric Nulling Postcorrelation Analysis
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Time Blanking: Radar
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Time Blanking: DME
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Time Blanking Implementation Done in backends Correlator will have – 100 sec precision – External & Internal Triggers – Channel, Antenna Configuration Undetermined
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Adaptive Canceling
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Rapid Prototyping Array
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Cancellation of Glonass
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Cancellation of GPS
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ATA Implementation of Canceling Multiple reference antennas (~10) Correlator/black box operating on phased- array signal Wiener or LMS solutions
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Interferometric Nulling: Two Slits
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Interferometric Nulling
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Nulls with the ATA
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Muliple Nulls
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Nulls in Frequency Space
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The Wages of Nulling Requires large-N to be effective Loss in SNR with number of nulls Must be able to update complex gains at ~100 Hz Matrix inversion is computationally expensive
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Postcorrelation Analysis Examine output of correlator/visibility matrix ~100 element PC cluster Data rate: – 350x349/2 – 4 Stokes – 1024 Channels – 16 bit – 100 Hz sampling 400 Gbits/sec: too much!
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How to Use the Tools Blanking – Radar, Aircraft, intermittent signals Adaptive Canceling – Reference antenna(s) on transmitter Interferometric Nulling – Predictable trajectories: satellites, fixed transmitters Postcorrelation Analysis – Broadly adaptable
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Future Steps Algorithm development More modeling of environment Implement canceller, external blanker Angle of arrival methods
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