Optimised Wiener Filtering in Overdetermined Systems

The Wiener filter is prevalent in many adaptive filtering applications, but can also be a computationally burdensome part of a signal processing chain. This paper presents methods to reduce the computational complexity and memory footprint of Wiener filters where the filter is highly overdetermined. The optimisations are demonstrated in the context of passive radar and result in a reduction of over 40 times in processing time.