The accurate perception and prediction of traffic parameters like vehicles is essential to transportation land planning management. Video satellites launched in recent years have brought promising opportunities into this field, providing a wide perspective high frame frequency for extracting moving vehicles. However, detecting remains challenge due their small size, which diminishes shape texture details, often causing them blend with noise or other objects. To address issue, we propose an...

In this paper, we consider the downlink of multicell multiuser massive multiple-input-multiple-output (MIMO) systems employing eigenvalue-decomposition-based channel estimation. The impacts two errors are emphasized, namely, error due to nonorthogonal vectors caused by a finite number base station (BS) antennas and sample covariance matrix because received signal with length. First, derive closed-form expressions for achievable rate symbol (SER). It is shown that no matter how large BS is,...

Ship detection is a significant and challenging task in remote sensing. At present, due to the faster speed higher accuracy, deep learning method has been widely applied field of ship detection. In detection, targets usually have characteristics arbitrary-oriented property large aspect ratio. order take full advantage these features improve accuracy on base methods, this article proposes an anchor-free method, which referred as CPS-Det, using rotatable bounding box. The main improvements...

Coordinated multipoint (CoMP) and massive multiple-input multiple-output (mMIMO) are two of promising technologies in future intelligent high-speed railway (HSR) communication systems, whose performance is fundamentally determined by the characteristics cooperative mMIMO channels. This article proposes a dynamic three-dimensional (3-D) wideband geometry-based stochastic model (GBSM) for HSR The proposed GBSM employs sphere elliptic-cylinder models to describe common uncommon clusters...

In modern days, as medical technology advances and the world's population grows, healthcare has been undergoing crucial changes. The common practice of clinical treatment is gradually being overhauled by ubiquitous systems. wireless body area networks (WBANs) are becoming increasingly important for future applications. According to human physiological information, WBAN not only sends real-time notification user but also decreases transmission delay patient information physician decision. As...

Stroke extraction of Chinese characters plays an important role in the field character recognition and generation. The most existing stroke methods focus on image morphological features. These usually lead to errors cross strokes matching due rarely using semantics prior information. In this paper, we propose a deep learning-based method that takes semantic features information into consideration. This consists three parts: registration-based registration establishes rough reference target...

Object detection under weakly supervised learning is a challenging issue. In remote sensing ship task, the method requires that training set only has image-level class annotations. absence of location information, it difficult to locate ships and extract features. Moreover, when detector extracts more than one candidate region, annotation makes determine whether regions are multiple or mixed with detected background. To address these issues, this article analyzes interaction between...

In this paper, a two-way relay system which achieves bi-directional communication via multiple-antenna in two time slots is studied. the multiple access (MA) phase, novel receive schemes based on Dempster-Shafer (D-S) evidence theory are proposed at node. Instead of traditional linear detection, first MIMO-DS NC scheme adopts D-S to detect signals each source node before mapping them into network-coded signal. Moreover, different from physical-layer network coding (PNC) virtual MIMO model,...

A two-way full-duplex multiple-input multiple-output (MIMO) relay provides effective spectral efficiency and system capacity improvement. However, self-interference (SI) as a serious problem limits the development of relay. In this paper, novel SI suppression schemes based on Dempster-Shafer (DS) evidence theory are proposed to suppress in MIMO DS can appropriately characterize uncertainty make full use multiple source information by combination rule obtain reliable decisions. The first...

Low power consumption is one of the key elements to make UWB technology be solution for future short-range and high-speed indoor wireless communications. To face limitation drawback, while still maintaining significant error correction capabilities, employing cooperation into communications can bring a great performance. In this paper, symbol-error-rate (SER) performance analyzed joint subband assignment allocation algorithm has been proposed cooperative multiband OFDM systems with...

G mmWave technology relies heavily on beamforming techniques to overcome the propagation conditions and greatly increases testing difficulty. The 5G OTA methods latest standardization progress of industry are reviewed in this paper. potential work plan 3GPP for MIMO also discussed as next steps further topic.

An important requirement for assessing technology wireless applications is to have an accurate description of the channel. Rayleigh and Rice are most popular models channels. In this paper, we simulation study statistical properties, such as PDF CDF, channels, also simulate outputs complex signals which passed give some useful results.

In this paper, a novel self-interference (SI) suppression scheme based on Dempster-Shafer (D-S) evidence theory is proposed to cancel in two-way full-duplex (FD) MIMO relay. D-S can appropriately characterize uncertainty and make full use of multiple source information by Dempster's combination rule obtain reliable decisions. Instead traditional spatial-domain schemes, the DS-Sum Difference(SAD)-PNC adopts detect sum difference signal for two nodes considering SI cancellation obtaining basic...

In recent years, the detection and localization of tiny persons have garnered significant attention due to their critical applications in various surveillance security scenarios. Traditional multi-modal methods predominantly rely on well-registered image pairs, necessitating use sophisticated sensors extensive manual effort for registration, which restricts practical utility dynamic, real-world environments. Addressing this gap, paper introduces a novel non-registered benchmark named...

Development of an appropriate propagation channel model is important step to design wireless body area network (WBAN). Because the human has different shapes (male, female and child), tissues with permittivity conductivity (even same person at age), limbs positions postures are changing all time, this made in-body modelling extremely difficult, if not impossible. There few publications on implant communication models compared wearable WBAN. In paper, we present a literature survey radio for...

Mobile radio channel models are essential for the development, evaluation and test of current mobile communication systems also crucial realization future systems. Nakagami-m distribution is important modeling in communication. It can repeat system tests design, or laboratory. In this study, we make a simulation study distribution. We focus on PDF under different values ofand, simulate SER Vs.SNR over fading QPSK

To achieve an accurate channel impulse response (CIR) during equalization and coherent detection, the estimation plays important role to performance of system, especially receiver. In this paper, we investigated two main kinds methods for MB-OFDM based UWB system. The performances are compared using MATLAB simulation. simulation shows NBIDCE algorithm has better WBAN-based healthcare systems.

Modeling the radio channel has historically been one of most difficult parts mobile system design. Channel modeling is basis for high-level network planning process (antennae heights, frequency assignment, base station subsystem parameter set, architecture, etc... ). In this contribution, we will compare two important outdoor macro-cell models, COST 231-WI model and ECC-33 with simulation measurement. The measurement taken in urban areas.

In most research, cooperation is associated with a node's willingness to sacrifice resources for the benefit of other nodes in networks. But WAPN applications especially power limited UWB networks, are independent selfish individuals and they do not voluntary help nodes. Cooperation strategy based on game theory method studied here. An unsymmetrical system model constructed, price new payoff function proposed describe this model. The pricing shown converge Nash equilibrium by iteration...

In order to build WBAN devices and design WBANs, it is imperative study the characteristics of channel model accurately. models are so different from traditional mobile there few publications on them. this paper, we studied statistic based IEEE 802.15.6 models. We focus body surface nodes external nodes, simulated path loss 820 MHz 2.36 GHz at both LOS NLOS situations. also used Gauss fit results obtained coefficients model.

In this paper, we focuse on the study of parameter optimization problem uniform scalar dead zone quantizer (USDZQ).We used particle swarm (PSO) algorithm and ant colony (ACO) for optimization. We two kinds ECG signal coding test.Those signals were from MIT-BIH arrhythmia database. At end results compression are compared.

This paper brief describes FIR anti-aliasing filters with equiripple pass bands and stop bands. We designed linear-phase one stage, two stages three stages. The simulation results of the proposed design scheme are very encouraging as far robustness computational complexity concerned

In this paper, we proposed a novel hidden Markov model (HMM) to approximate the characteristic of Nakagami Fading channel. Our study is based on Hidden Model (HMM). The channel switches between ‘good’ and ‘bad’ situation. transition sub-states governed by Chain, which some self-return state hidden. performance studied simulating probability density functions (PDF), cumulative distribution (CDF), level cross rate (LCR) average fade duration (AFD).

The prediction of the frequency non-selective WBAN fading channel behaviors is investigated. An novel model implemented based on Suzuki and Rice method parameters proposed has been adjusted through MEA, MEDS, Jakes Monte Carlo multipath simulation method. performance evaluation for adaptive simulations given. validity confirmed by comparison first order statistics measured data.