Multipath is a challenging problem for radar-based localization systems, especially in indoor scenarios. caused by the bounces from static objects like walls and furniture room creating false alarms (“ghosts”) target detections. Although solutions multipath effect have been proposed range of radar sensing problems, specific case recognition mitigation colocated multiple-input–multiple-output (MIMO) remains unsolved. For MIMO radar, different direction-of-arrival (DoA) direction-of-departure...

In this paper we present the second stage of a two-phase strategy for reducing required background memory sizes large class data-intensive multimedia applications. This is particularly useful in an embedded application context, where size and corresponding power consumption are main cost factors together with data transfers. Our optimizes storage order arrays by trying to improve reuse locations, as well elements same array different arrays. Although reduction objective, added benefit...

This paper presents a radar and camera sensor fusion framework as vulnerable road user (VRU) perception system that can automatically detect, track classify different targets on the road. The first module of performs spatial-temporal alignment common plane detections provided by signal processing video modules. second is dedicated to data association aligned detections. A centralized algorithm takes current detection set (locations labels) inputs from both sensors multi-object tracking with...

In light of the continuously and rapidly growing senior geriatric population, research new technologies enabling long-term remote patient monitoring plays an important role. For this purpose, we propose a single-input-multiple-output (SIMO) frequency-modulated continuous wave (FMCW) radar system signal processing technique to automatically detect number 2-D position (azimuth range information) stationary people (seated/lying down). This is achieved by extracting vital signs signatures each...

In application-specific designs, customized memory organization expands the search space for cost-optimized solutions. Several optimization strategies can be applied to embedded systems with several different architectures: data cache, scratch-pad memory, custom architectures, and dynamic random-access (DRAM).

Video and image processing applications deal with large amounts of data which have to be stored transferred. As the initial system specification describing these manipulations heavily influences final memory organization hierarchy, there is a clear need for exploration support. We believe that emphasis should lie on fast but accurate estimation high-level steering involved transformations. In this paper, environment called ATOMIUM, presented supports requirements. To illustrate effectiveness...

A program transformation strategy is presented that able to reduce the buffer size and power consumption for a relatively large class of (pseudo)regular data-dominated signal processing algorithms. Our methodology targeted toward an implementation on programmable processors, but most principles remain valid custom processor implementation. As area cost are crucial in context embedded multimedia applications, this can be very valuable. The feasibility our approach demonstrated representative...

One of the main challenges radar-based localization applications in indoor environments is presence strong multipath. When radar bandwidth large enough, multipath components can be resolved range but they result unwanted ghost targets. We propose a novel mitigation approach that exploits fact multipaths are highly dependent on scene geometry. The discards targets based fused information multiple radars located at different positions scene. For such fusion, output signal processing chain...

Multipath is a significant challenge for indoor multiple-input-multiple-output (MIMO) radar applications. It generates the so-called 'ghosts' in detection, which represent objects that do not exist. Targets and ghosts are very similar, makes them difficult to be recognized without prior knowledge of environment geometry. In this work, multi-path model scenario analyzed frequency-modulated continuous-wave (FMCW) MIMO radar. Based on multipath model, spatial signals from virtual channels fed...

In this paper, several DSP system design principles are presented which valid for a large class of memory-intensive algorithms. Our main focus lies on the optimization memory and I/O, since these dominant cost factors in domain video imaging applications. This has resulted formalizable mapping principles, allow to prevent from becoming bottleneck. First, it as shown that applications, compile-time data caching decisions not only have effect performance, but also can an even larger overall...

The key characteristic of next generation embedded applications will be the intensive data transfer and storage need for efficient memory management. system designer community needs optimization methodologies techniques, which do not change input-output functionality software or design underlying hardware platform. In this paper, focus is access both dynamically statically allocated their assignment on hierarchy an MPSoC We propose a tool framework to efficiently automate time-consuming...

Using software-controlled Scratch-Pad Memory (SPM) in Systems-on-Chip has the potential of reducing power consumption by using design-time application knowledge to reduce memory accesses and processor stalls. This paper presents a fully automatic analysis transformation tool which selects data-structures for transfer SPM schedules data transfers between background (pre-fetching) achieve both high performance low consumption. A case study applying this on an MPEG-4 video encoder shows overall...

This paper presents a highly integrated and compact 140 GHz MIMO FMCW radar prototype with 10 bandwidth. The is based on custom-designed CMOS chipset on-chip antennas. Together COTS FPGA processor, the packaged in 10x10x5 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> housing that allows testing experimenting without laboratory equipment. describes its performances, signal processing architecture implementation, mechanical thermal...

In radar-based tracking systems, the presence of false detections caused by multipath effects (so-called 'ghosts') leads to generation tracks and complicates process data association. This paper presents a novel approach for joint target with wall estimation based on robust recognition mitigation algorithm colocated multiple-input–multiple-output (MIMO) radars. Indoor real-world radar measurements are used recognize ghosts, localize targets, map reflectors in room without prior knowledge...

Data fusion is one of the key aspects in robust and failure-tolerant vulnerable road user (VRU) perception systems. This paper presents a multi-radar sensor platform that enables automatic detection, tracking classification pedestrians cyclists while aiming to support fail-safe system operation. The encapsulates two main modules working concurrently: first detection-to-detection module performs spatio-temporal alignment radar detections, data association aligned detections finally...