Labs and Facilities
This 17 person multimedia conference room is equipped to facilitate meetings and small lectures. Multi-user voice conferences are managed by a Polycom SoundStation 2 Expandable Conference Phone. Multi-user video conferences are managed by a 55鈥 Samsung F6300 Series Smart TV and an Intel NUC mini-PC running Windows 10听Enterprise. The video conferencing can be done using the most popular methods including Skype, GoToMeeting, & WebEx. Room Scheduling is handled by in
The CCAR reception area is a newly refinished with lounge style听tables and chairs, signage, and a 47鈥 Samsung Smart TV displaying CCAR related pictures and videos. This area also houses the Lexmark CS510de color laser printer, Konica-Minolta photocopier, and Faculty / Staff mailboxes.
Graduate students within CCAR are either assigned a desk in one of the research labs or in one the听areas maintained for student use. In these areas, computers are assigned on a case by case basis depending on the work and needs of the student. All students will have access to either the UCB Wireless network or the CCAR managed wired network for connectivity of personal laptops or CU owned computers.
The GNSS/GPS Development & Analysis Laboratory works on GPS-based satellite orbit & attitude estimation, GPSRO & GPSR techniques for remotely observing the earth鈥檚 environment, optical measurement modeling & estimation methods for space situational awareness, autonomous rendezvous & docking, and receiver design & implementation. The lab contains extensive radio (RF) test and measurement equipment, cabling, connectors, and antennas suitable for signals from baseband through S-band. Specifically the major test and measurement components within the lab include: a National Instruments full multi-constellation (GPS & GLONASS) simulator, a Spirent STR4500 full GPS constellation simulator, a 10 kHz-3.2 GHz Agilent signal generator, a 6.7 GHz National Instruments Vector Signal Analyzer/Generator with 50 MHz bandwidth record/playback capability, a variety of atomic-based frequency standards, a 9 kHz-3.6 GHz Rohde & Schwarz handheld network/spectrum analyzer, multiple GNSS single channels simulators, and various function generators, oscilloscopes, and power supplies. In addition, there are numerous RF discrete components such as filters (cavity, SAW, lumped element), low noise amplifiers, mixers, attenuators, RF adapters, and precision cables that can be used to construct custom RF front ends. The laboratory consists of number GNSS/GPS receivers from the smallest mass market devices to complete multiconstellation (GPS, GLONASS, Galileo, Beidou) multifrequency survey grade receivers. There is truth reference measurement system consisting of a GNSS/GPS receiver, a tactical-grade inertial measurement unit, and carrier phase differential real/post processing software package. It also can support rooftop experimental work using low loss cable drops from roof mounted GNSS/GPS antennas. Graduate students have offices in the grad lounge, Student Office areas, GPS lab, or the GNSS lab areas. Their work is generally performed on desktop computers connected to the CCAR network.
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The Bosanac group focuses on leveraging the chaos of multi-body dynamical systems to advance astrodynamics and celestial mechanics applications. In this computational facility, researchers are currently focused on improving trajectory design and optimization techniques for spacecraft as well as expanding the insight extracted from听dynamical systems techniques. The Bosanac group uses this research to support: trajectory design for missions to new destinations within the solar system for science, technology demonstration or infrastructure purposes; using trajectory design as an enabling technology for CubeSat and SmallSat mission concepts; and improving both the accessibility of space and the reusability of space-based assets.
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The Space Weather Lab focuses on scientific inquiry into near-earth space. The work includes collaborations with NOAA National Geophysical Data Center with the aim to update, improve, and leverage various spacecraft datasets that provide information about energy deposition and dissipation at LEO altitudes. The primary focus is improving estimates of satellite drag. The analysis and archiving solution is Linux-based and leverages multiple mirrored workstations and redundant external and cloud-based storage to ensure dataset integrity and avoid disc-access bottlenecks. Our toolchain is primarily MATLAB and Python based, but includes IDL, Fortran and Javascript/jQuery.