Interference Daniel Mitchell, ATNF and Sydney University.

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Presentation transcript:

Interference Daniel Mitchell, ATNF and Sydney University.

Overview Radio Frequency Interference Radio Frequency Interference Sources of Interference, ATCA Interference Surveys, Effect on Synthesis Images. Sources of Interference, ATCA Interference Surveys, Effect on Synthesis Images. Robustness of an Interferometer Robustness of an Interferometer Bandwidth Smearing, Broadband Decorrelation, Time- Average Smearing. Bandwidth Smearing, Broadband Decorrelation, Time- Average Smearing. Dealing with Interference Dealing with Interference Interference Mitigation. Interference Mitigation.

Radio Frequency Interference Most people will encounter interference when using radio data. Most people will encounter interference when using radio data. Continuum Observations: Continuum Observations: Require wide bandwidths for sensitivity -> it’s hard to find large, unoccupied portions of the radio spectrum. Require wide bandwidths for sensitivity -> it’s hard to find large, unoccupied portions of the radio spectrum. Spectral Line Observations: Spectral Line Observations: Spectral lines are often redshifted out of the protected bands. Spectral lines are often redshifted out of the protected bands. Pulsar Surveys: Pulsar Surveys: Interference can have similar signatures to pulsar signals. Interference can have similar signatures to pulsar signals.

Sources of Interference Self generated Interference Self generated Interference Digital equipment at the observatory Digital equipment at the observatory (testing, isolation & shielding) (testing, isolation & shielding) Natural Interference Natural Interference Solar interference Solar interference Terrestrial Interference Terrestrial Interference Build the array in a radio quiet Build the array in a radio quiet location location Satellite Interference Satellite Interference Navigation satellites (GPS & GLONASS), “Low Earth Orbit” communication satellites (Iridium & Globalstar), Geostationary satellites (AUSSAT), Radar and weather satellites, etc. Navigation satellites (GPS & GLONASS), “Low Earth Orbit” communication satellites (Iridium & Globalstar), Geostationary satellites (AUSSAT), Radar and weather satellites, etc. FORTÉ Satellite Map

ATCA Interference Surveys Surveys are conducted over the four cm bands (3, 6, 13 & 20 cm): Surveys are conducted over the four cm bands (3, 6, 13 & 20 cm): Images and recommended frequencies given in the ATCA User’s Guide Images and recommended frequencies given in the ATCA User’s Guide An overview is given at: An overview is given at:

13cm, July 2002

13cm, December 2001

ATCA cm Bands

Effect on Synthesis Images The strength, location, duration, polarisation, etc. of an interfering signal have various effects on the final image. The strength, location, duration, polarisation, etc. of an interfering signal have various effects on the final image. Interference enters the visibilities, so it’s the Fourier transform that is seen in the image Interference enters the visibilities, so it’s the Fourier transform that is seen in the image

MOST Interference All 1134 Samples UsedSamples 1106 – 1118 Ignored Sample Number Beam Number RFI ( ) SOLAR RFI

ATCA Interference (microwave link) Images made by M. Kesteven.

Robustness of an Interferometer Interferometer’s have added protection against RFI compared with single dishes. Interferometer’s have added protection against RFI compared with single dishes. Extra decorrelation of the RFI occurs in both the time and frequency domains. Extra decorrelation of the RFI occurs in both the time and frequency domains.   u v

Bandwidth Smearing Visibility locations are functions of wavelength. Visibility locations are functions of wavelength. Different monochromatic components of a broadband signal experience different phase shifts as a wavefront travels between antennae. Different monochromatic components of a broadband signal experience different phase shifts as a wavefront travels between antennae. The effect is a radial smearing in the uv-plane => radial smearing in image. The effect is a radial smearing in the uv-plane => radial smearing in image. §2.3, §2.11, §17.1.1, §18.1. The ideal response of the correlator, V( 0 ), is reduced as the bandwidth, , and the time delay,  g, increase.

Antenna delays are set so that a wavefront from s reaches the correlator via each antenna at the same time. Antenna delays are set so that a wavefront from s reaches the correlator via each antenna at the same time. An interfering signal, i, with a different delay will An interfering signal, i, with a different delay will suffer bandwidth smearing. suffer bandwidth smearing. The correlater output r 0 will be reduced The correlater output r 0 will be reduced quickly as i moves away from the field centre. quickly as i moves away from the field centre. Circles on the celestial sphere of equal delay Broadband Decorrelation were the time delay of the interfering signal,  d, is §2.3, §2.11.

Time-Average Smearing Variable delays and phase shifts are inserted to track the celestial sphere Variable delays and phase shifts are inserted to track the celestial sphere Signals not moving with the celestial sphere will move through fringes. Signals not moving with the celestial sphere will move through fringes. The effect is tangential smearing in the uv-plane => tangential smearing in image The effect is tangential smearing in the uv-plane => tangential smearing in image §2.4, §2.12 §17.1.2, §18.2. The ideal response, V(  i (t 0 )), is reduced as the frequency, 0, and the change in delay,  i, increase. For terrestrial sources, the effect is opposite to what the astronomy would experience if fringe stopping isn’t implemented.

Dealing with Interference Further measures can be taken to reduce unwanted signals Further measures can be taken to reduce unwanted signals Some examples include removing / reducing the interference at the source, choosing a better location / frequency / time, using more robust statistics, time and frequency filters, flagging data, interference mitigation Some examples include removing / reducing the interference at the source, choosing a better location / frequency / time, using more robust statistics, time and frequency filters, flagging data, interference mitigation

Interference Mitigation A range of extremely promising algorithms are currently being demonstrated: A range of extremely promising algorithms are currently being demonstrated: Adaptive filtering and post-correlation cancelling. Adaptive filtering and post-correlation cancelling. Moving the nulls of the interferometer Moving the nulls of the interferometer pattern around (Geoff Bower’s images). pattern around (Geoff Bower’s images). Project out strong correlated parts of the complex visibilities (sub-space techniques). Project out strong correlated parts of the complex visibilities (sub-space techniques). Parametric techniques. Parametric techniques. The decorrelation effects mentioned on previous slides must be taken into account. The decorrelation effects mentioned on previous slides must be taken into account.

Summary Increased use of the spectrum and more sensitive instruments will make interference worse in the future. Increased use of the spectrum and more sensitive instruments will make interference worse in the future. Interferometers have built-in mechanisms which help to reduce the interference. Interferometers have built-in mechanisms which help to reduce the interference. Many of these mechanisms are more effective on long baselines. Many of these mechanisms are more effective on long baselines. A lot can be done by designing equipment and planning observations carefully. A lot can be done by designing equipment and planning observations carefully. As new instruments are built and current instruments upgraded, new algorithms are being implemented to mitigate the interference. As new instruments are built and current instruments upgraded, new algorithms are being implemented to mitigate the interference.