Indoor localization is becoming critical to empower Internet of Things for various applications, such as asset tracking, autonomous parking, virtual reality, context awareness, condition monitoring, geolocation, smart manufacturing, well cities. It known that indoor based on some single fingerprints rather susceptible the changing environment. The efficiency building from one system also low. Recently, we first proposed a group (GOOF) improve fingerprints, and then an efficient fusion...

The unimodular waveform design for simultaneous sensing and communication plays an important role in the integrated (ISAC) systems. existing studies mainly include trade-off without Reconfigurable Intelligent Surface (RIS); or RIS-aided with optimal performance a certain aspect, which usually degrade comprehensive performance. To address these issues, RIS is proposed, are coupled. decoupled methods Alternating Optimization (AO), computationally unaffordable. solve problem efficiently,...

The transceiver design with constant modulus constraints (CMC) is the key issue in integrated sensing and communication (ISAC) systems. Usually, existing methods assume prior knowledge of target clutter for precisely known, which brings challenges to imprecise scenarios practical applications. To address issue, robust ISAC proposed. We jointly maximize averaged signal-to-interference-plus-noise ratio (SINR) achievable sum-rate (ASR) communication, subject CMC transmit codes spherical (SPC)...

The BZ19-6 deep buried-hill structural belt in the southwest of Bozhong Sag, Bohai Bay Basin, is a newly discovered super-giant oil and gas bearing area. study on its reservoirs still early stage, characteristics control factors reservoir development are not understood deeply. In this paper, cores, sidewall rock sections were analyzed described. Then, based regional setting, mud logging data, area from aspects petrological characteristics, space types physical properties, inherent...

A fast and excellent unimodular waveform with good autocorrelation cross-correlation design method for the multiple-input multiple-output radar is devised. Unlike existing methods that only optimize partial metrics or short sequence in acceptable time, we propose a comprehensive to minimize weighted sum of almost entirely under constant modulus constraint. Then, deep learning framework, named as optimization network, derived handle problem. Numerical results show proposed has superior...

Transfer learning algorithms (TLAs) are often used to solve the distribution discrepancy issue in fingerprint-based indoor localization. However, existing TLAs cannot react well real time changes environmental dynamics of target space due three remarkable shortcomings: a) redundant knowledge source domain may lead "negative transfer"; b) required samples calculate distributions unrealistically feasible for real-time positioning; c) they transfer efficiently across domains with heterogeneous...

For airborne-phased array radar systems, space-time adaptive processing (STAP) is supposed to be a crucial technique for improving target detection performance in the strong clutter background. However, practical application environments are always heterogeneous and have offered severe challenge implementation of STAP. To address this reality, data-dependent reduced dimension STAP approach based on sparse recovery (SR) proposed paper. take full account environments, we consider extremely...

The main drawback for large-scale applications of WiFi-based localization is the varying characteristics received signal strength (RSS), which degenerates performance seriously. To mitigate variation problem, we propose a hybrid fingerprint quality evaluation model (HFQuM) accurate WiFi localization. HFQuM can intelligently determine location user by evaluating in different subareas, that high indicates frequently occurred label more likely to be true. achieve this, offline phase, instead...

Federated Learning (FL) has been widely used to facilitate distributed and privacy-preserving machine learning in recent years. Different from centralized training that usually independent identically (IID) distribution of all users' data, FL suffers significant communication cost model performance degradation due the non-IID data individual edge devices. Existing work calibrates local models using a global anchor or sharing data. However, these studies either assume central server dataset...

The virtual sensing technique allows the active noise control (ANC) system to work with error microphones that are placed far from desired zone of quietness (ZoQ). Conventionally, a training stage is required obtain auxiliary filters temporary in ZoQ. When characteristics primary changes, have be retrained. As result, conventional can only used when frequency band remains unchanged. In order solve this limitation, paper proposes selective for multi-channel feedforward ANC system. obtains...

Traditional fingerprint-based positioning approaches work well on static data; they cannot handle scenarios where the data distribution, feature space and even signal source evolve over time, which are ubiquitous in real-world applications. One straightforward approach for circumventing these difficulties is to repeat labeled calibration maintaining an up-to-date fingerprint database, usually infeasible or expensive large-scale indoor environments. In this paper, we propose a Long Short-Term...

Synthetic aperture radar (SAR) is an important means for target surveillance through reconstructing the microwave image of observation area. However, under condition low signal-to-clutter ratio (SCR), such as a strong sea clutter situation, it difficult to surveil targets from SAR images acquired by traditional matched filter-based imaging methods. To improve performance SAR, this article proposes target-oriented method, which can enhance desired and SCR in reconstructed images. By...

Frequency-modulated continuous waveform signals are of great interest in automotive radar, perimeter and wide-area surveillance radar applications. For radars radars, which generally utilize high Doppler frequency resolution for target recognition, the important potential such as a walking person cannot be viewed point-like due to different velocities reflection points pedestrian. The echoes targets have extended spectrum, they appear horizontal lines range-Doppler plane, rather than single...

Nowadays, face recognition technology has been dramatically boosted by the advances in deep learning and big data fields. However, this also poses grand challenges protecting personal identity information intelligent applications of Internet Things (IoT). Existing methods based on <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> -Same algorithm have low effectiveness for...

Hybrid digital/analog architecture and low-resolution analog-to-digital/digital-to-analog converters (ADCs /DACs) are two low-cost implementations for large-scale millimeter wave (mmWave) systems. In this paper, we investigate the problem of constant-envelope transmit beamforming multiple-input multiple-output (MIMO) radar system, where array adopts a hybrid with small number RF chains receive fully digital ADCs. We derive relative entropy between probability density functions associated...

The virtual sensing (VS) technique enables an active noise control (ANC) system to estimate the error signal for using remote monitoring microphones. However, instances where characteristics and primary paths exhibit variations lead a noticeable decline in performance conventional VS technique. To address this challenge, we propose cognitive paper. Its objective is enhance by providing more precise of based on environmental cognition. Differing from previous selective technique, connects...

Synthetic aperture radar (SAR) can provide high-resolution electromagnetic backscattering images of the illuminated area, playing a significant role in various applications. However, achieving focused SAR is challenging under sparse sampling and phase error conditions. By exploiting sparsity or compressibility priors, state-of-the-art sparsity-driven imaging methods reconstruct condition sampling. handcrafted priors used these limit performance, iterative solution schemes reduce...

In this article, we consider the uniform circular arrays (UCAs) with number of antenna elements insufficient to apply traditional beamspace-based algorithms, which are labeled as sparse UCAs. For such UCAs, propose a new hybrid approach for 2D direction-of-arrival (DOA) estimation in presence mutual coupling. Using manifold decomposition technique, present two formulations steering vector coupling Then, introduce adaptations modified array rank reduction algorithm. This leads an algorithm...