Indoor human sensing, recognition, and detection, as key enablers of building smart environments, such home, retail, museum, have gained tremendous attention in recent years. Compared with traditional vision-based wearable sensor-based solutions, radio-frequency (RF)-based approaches are more desirable the contactless nonline-of-sight nature. Among all RF-based approaches, WiFi-based been focus many researchers because ubiquitous availability cost efficiency. In this article, we present a...

The past years have witnessed increasing research interest in achieving passive human localization with commodity WiFi devices. However, due to the fundamental limited spatial resolution of signals, it is still very difficult achieve accurate existing To tackle this problem, paper, we propose exploit degree freedom provided by Intelligent Reflecting Surface (IRS), which composed a large number controllable reflective elements, modulate distribution signals and thus break down limitation...

Linear frequency modulated continuous wave (LFMCW) signals have been widely used in target detection and localization, thanks to their good sensitivity high range resolution. However, estimation of the angle arrival (AOA) LFMCW signal reflected from each a multitarget environment is still quite limited at present. In this paper, we propose novel AOA framework which one transmitter antenna two receiver antennas are employed transmit wideband receive different targets, respectively. The...

WiFi-based imaging enables pervasive sensing in a privacy-preserving and cost-effective way. However, most of existing methods either require specialized hardware modification or suffer from the poor performance due to fundamental limit off-the-shelf commodity WiFi devices spatial resolution. We observe that recently developed reconfigurable intelligent surface (RIS) could be promising solution overcome these challenges. Thus, this article, we propose an RIS-aided framework achieve...

Radio frequency (RF) imaging has been of interest for years due to its ability create images targets without being affected by weather and light conditions. The existing heuristic solutions such as back projection (BP), suffer from the sidelobe interference limited antenna aperture. In this paper, we propose a super-resolution 3-D algorithm enhance performance. Mathematically, reconstruction problem is an inverse that can be formulated optimization problem. low-rank property object exploited...

The past years have witnessed increasing research interests in achieving passive human localization using WiFi signals. However, due to the limited spatial resolution of devices, it is still difficult achieve accurate with existing infrastructures. To tackle this problem, paper, we propose a RIS-aided frame-work, which exploits degree freedom provided by Reconfigurable Intelligent Surface (RIS) localization. We noted that RIS composed large number controllable reflective elements, can break...

Possibilistic fuzzy c-means (PFCM) is used for solving the problem of data classification. It relies on initial cluster centers set by users that are lack theoretical supporting. Inappropriate values may result in deviation centers. In this paper, A Robust Adaptive Particle Sw arm Optimization based steepest descent method proposed to solve initialization and improving performance clustering. Combined with clustering algorithm, particle swarm optimization (PSO) possesses good robustness...

WiFi-based imaging enables pervasive sensing in a privacy-preserving and cost-effective way. However, most existing methods either require specialized hardware modification or suffer from poor performance due to the fundamental limit of off-the-shelf commodity WiFi devices spatial resolution. We observe that recently developed reconfigurable intelligent surface (RIS) could be promising solution overcome these challenges. In this paper, we propose RIS-aided framework achieve high-resolution...

In this paper, the performance of phase hop diversity in multiple input output (MIMO) wireless system is researched. We get order (PHD) according to definition and discuss different cases. Although an important parameter evaluate a communication using diversity, but can only be PHD when SNR (signal-to-noise ratio) higher, so we consider lower too. Furthermore, up bound for channel state information (CSI) known not at transmitter, respectively, by transforming problem cost function PEP...

Compared with optical imaging, radio frequency (RF) imaging enables object in an all-weather, privacy-preserving, and cost-effective way. However, the existing heuristic solutions such as back projection (BP) range migration (RM), suffer from sidelobe interference due to limited antenna aperture. In this paper, we propose a super-resolution 3-D algorithm enhance performance. Mathematically, reconstruction problem is inverse that can be formulated optimization problem. The low-rank property...

WiFi-based imaging enables pervasive sensing in a privacy-preserving and cost-effective way. However, most of existing methods either require specialized hardware modification or suffer from poor performance due to the fundamental limit off-the-shelf commodity WiFi devices spatial resolution. We observe that recently developed reconfigurable intelligent surface (RIS) could be promising solution overcome these challenges. Thus, this paper, we propose RIS-aided framework achieve...