ASIC Design of a Sigma Point Processor
Numerous applications from the area of wireless communications, robotics or navigation require computationally demanding signal-processing algorithms, which have to be executed in real-time. Examples include robot positioning or estimation of time-varying radio channels.
Sigma point belief propagation  lets one describe these algorithms in a common way. While in a recent master project  we demonstrated, how a more restrictive type of belief propagation can be used to build a dedicated processor architecture, the goal of this project is to build a processor for sigma point belief propagation. Application specific processors of this type are serve as an signal-processing accelerator in heterogeneous multicore processors. They offer a unique blend of flexibility and computational performance compared to dedicated hardware implementations or general purpose processors.
You will start by implementing a sigma point processor in Matlab, then implementing and verifying the processor in VHDL. Afterwards you will compare the performance speed-up of your processor against existing designs and start with back-end design. After the back-end, your signal processor ASIC will be fabricated in high-end 65nm CMOS technology.
- 20% Theory/Matlab
- 40% ASIC Design
- 40% EDA tools
- VLSI I
- VLSI II (recommended)
- Matlab, VHDL