Memory Organization for Video Algorithms on Programmable Signal Processors

In this paper, several DSP system design principles are presented which are valid for a large class of memory-intensive algorithms. Our main focus lies on the optimization of the memory and I/O, since these are dominant cost factors in the domain of video and imaging applications. This has resulted in several formalizable mapping principles, which allow to prevent the memory from becoming a bottleneck. First, it is shown that for this class of applications, compile-time data caching decisions not only have a large effect on the performance, but also can have an even larger effect on the overall system cost and power consumption. This is illustrated by means of experiments in which the whole range of no cache up to large cache sizes is scanned. Next, it is shown that when enforcing constant I/O rates to reduce buffer sizes, the area gain may be far more important than the small performance decrease associated with it. A technique to achieve this in an efficient way is proposed. The main..

Ontwerp van een asynchrone processor voor beeldrotaties

SIGLEKULeuven Campusbibliotheek Exacte Wetenschappen / UCL - Université Catholique de LouvainBEBelgiu

Radar fusion for multipath mitigation in indoor environments

One of the main challenges of radar-based localization applications in indoor environments is the presence of strong multipath. When the radar bandwidth is large enough, multipath components can be resolved in range but they result in unwanted ghost targets. We propose a novel multipath mitigation approach that exploits the fact that multipaths are highly dependent on the scene geometry. The multipath mitigation approach discards the ghost targets based on the fused information of multiple radars located at different positions in the scene. For such radar fusion, the output of the radar signal processing chain is translated into the world coordinate system that is common for all the radars. We propose a radar alignment approach to estimate the translation and rotation parameters from radar to world coordinate system and vice versa. Our multipath mitigation method is combined with an unscented Kalman filter to improve the localization accuracy. We demonstrate the effectiveness of our complete approach with a real experiment using two radars to detect and track a target in a room with severe multipath.info:eu-repo/semantics/publishe