Mode S in the US

San Francisco & Silicon Valley:

New York, New York:


AviationMapper Demo

Aviation Mapper is LIVE! Click here to use it.

The Aviation Mapper launch video

Running live at Sydney Airport streaming AvMap via 3G mobile Internet

Running the Aviation Mapper desktop app

Presentation at Dorkbot Sydney Finale 2011

Presentation at Ruxcon 2011: "Hacking the wireless world with Software Defined Radio

Software Defined Radio

My Software Defined Radio experiments featured in GQ Australia (April/May) 2012!

SDR-powered Aviation Mapper is now LIVE! Click here to use it.

The Aviation Mapper launch video

Have a look at my Hi-Def intro video on using SDR on HF that was featured on Slashdot:
(The 'cheap SDR' they refer to can be found on my wiki for GNU Radio/Linux and Windows.)

The Software Defined Radio (SDR) I currently use is the Universal Software Radio Peripheral (USRP) 1 made by Ettus Research (in a custom housing!):

I've used it for several of my projects, including an aviation tracking system with a live streaming 3D Google Earth front-end:

Demonstration of BorIP network streaming between HDSDR and GNU Radio using USRP 1:

Example of HDSDR using USRP:

Presentation at Dorkbot

Here are some excerpts of the presentation Matt Robert and I gave at the October 2010 meetup of Dorkbot Sydney.

If you wish to see all of the photos from the set-up phase prior to the presentation on the roof of my apartment block, please have a look at the album in my gallery.

The Early Days

These are screenshots from the first working version of the system. You'll notice one obvious bug: some of the altitudes are impossibly high (the was an extra un-necessary bit shift).

If you wish to see photos of the first proper outdoor test of the system on top of the tallest hill in Sydney Park, please have a look at the album in my gallery.

Aircraft Tracking with Mode S: Modez & Aviation Mapper

Aviation Mapper is LIVE! Click here to use it.

The Aviation Mapper launch video

This project is a completely home-grown implementation of an aircraft tracking system using Mode S messages received on a Universal Software Radio Peripheral (USRP) from Ettus Research. The system comprises of a software-defined baseband decoder, a GUI front-end and a real-time (smooth) JavaScript-enabled Google Earth feed.

For the Mode S/aviation/RF enthusiast: If you are interested in various notes, diagrams and screenshots that are more technical than these series of pages, please check out the dedicated page on my wiki as well.

Modez, Aviation Mapper and Software Defined Radio featured in GQ Australia (April/May)!

Screenshots from the GUI front-ends:

A plane at 514 km, with trails left behind showing flight corridors

Looking at an angle at Sydney Airport, with planes landing on overlapping approach trails.
ACARS messages shown spatially as coloured dots with message label and content in balloon pop-up.

Spatial representation of ACARS message transactions building up over half a day

Accumulated flight paths over half a day

The Aviation Mapper desktop app

Geolocation Experiment using the Mobile GSM Cellular Network

This experiment involved acquiring CellID and signal strength information from the GSM cellular network, tracking one's position while acquiring this data, and finally presenting it nicely. It is summarised in the following pictures (full details are described in the sub-sections found top-left):


Mapping position and signal strength measurements:

Cosmology Major Project

A system for distributed extensible particle simulations over multiple computers. Unfortunately I haven't exactly got around to distributing it. Although thanks to the generosity of Steven Foster, the many lab computers at my school are waiting. My report details the process and simulation design.

Real-time detection of commercials on television

For my undergraduate honours thesis I conducted research into the unbuffered real-time detection of commercials on television with a view to muting the volume when ads are being broadcast. The research itself dealt with examining the features required to enable robust real-time detection. I developed a sophisticated video analysis and processing framework to underpin experimentation and compilation of results.

The following screenshots show the system running live (click on one to see the full-res image):

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