In this letter, we apply previous array receiver architecture which employs time-domain sub-Nyquist sampling techniques to jointly estimate frequency and direction-of-arrival(DOA) of narrowband far-field signals. Herein, a more general situation is taken into consideration, where there may be than one signal in subband. We build time-space union model, analyze the identification give maximum number can classified. also proof that Cramer-Rao Bound (CRB) lower Nyquist sampling. Simulation...

Abstract Human-computer interaction under the cloud computing platform is very important, but semantic gap will limit performance of interaction. It necessary to understand information in various scenarios. Relation classification (RC) an import method implement description formalization. aims at classifying a relation between two specified entities sentence. Existing RC models typically rely on supervised learning and distant supervision. Supervised requires large-scale training datasets,...

Nowadays, with increasingly intense competition in the market, major banks pay more attention on customer relationship management. A real-time and effective credit card holders' churn analysis is important helpful for bankers to maintain holders. In this research we apply 12 classification algorithms a real-life behaviors dataset from commercial bank China construct predictive model. Furthermore, comparison made between performance of based Multi-Criteria Decision Making techniques such as...

Multiple antenna systems with sub‐Nyquist sampling technique have been applied to jointly estimate frequency and direction‐of‐arrival of narrowband far‐field signals. Unlike the current some techniques, where only one signal can be handled in certain subband, authors propose a novel deal case multiple The first build new time‐space union model for this analyse identification model, then provide maximum number signals which classified. also prove that Cramér‐Rao Bound (CRB) is lower than CRB...

This article addresses the challenge of simultaneously estimating direction arrival (DOA) and signal carrier frequency when sampling is sparse in both spatial temporal domains. To capture arbitrary distribution source spectra, a linear array receiver based on multicoset employed. Utilizing subspace decomposition, 2-D pseudospectrum-based joint DOA estimation (TDPS-JDFE) algorithm proposed. In addition, for delay patterns arrays, covariance matrix expansion (CME) version proposed TDPS-JDFE...

In the context of perceiving spatial information, researchers extensively investigate use large-scale arrays due to their numerous advantages such as high precision and resolution, well increased degrees freedom. However, may be impractical in certain applications prohibitive hardware cost. To address this bottleneck, a switch-element array structure composed switch network offers an appealing low-cost alternative by multiplexing Radio Frequency (RF) chains. With novel architecture, we...

Specific emitter identification (SEI) is a method to identify radiation sources using radio frequency fingerprints (RFF) during signal transmission. Since transient features are difficult capture accurately, we often analyze steady-state extracted from signals. In this letter, temporal convolutional networks (TCN) utilized in the SEI field. It performs as well recurrent neural network (RNN) on traditional sequential tasks, and it retains excellent classification capabilities of (CNN), so can...

In recent years, unconventional emergency exploded frequently, and had shown the complexity enormous destruction, other significant characteristics. It a great impact on people's daily life social security stability. Humans lack of adequate cognition what kind event state, possibilities its appearance harm degrees. The traditional "prediction-response" mode would help decision-makers take an effective judgment possibility evolution evolution, but there are some errors. Started with...

In this paper, to jointly estimate the frequency and direction-of-arrival(DOA) of narrowband far-field signals, a novel array receiver architecture is presented by concept sub-Nyquist sampling techniques. particular, our contribution threefold. i) First, we propose time-space union signal reception model for receiving where techniques arbitrary geometries are employed decrease time-domain rate improve DOA estimation accuracy. A better joint obtained in higher space. ii) Second, two...

In the previous work for joint Direction-Of-Arrival (DOA) and frequency estimation with sub-Nyquist sampling, algorithm JDFTD has a superior performance. However, computational burden increases snapshot iterative operation. this paper, singular value decomposition (SVD) is employed to eliminate effect of new version based on SVD (SVD-JDFTD) proposed. Numerical simulations verify that SVD-JDFTD reduces without loss performance JDFTD.

The estimation of direction arrival (DOA) is a crucial issue in conventional radar, wireless communication, and integrated sensing communication (ISAC) systems. However, low-cost systems often suffer from imperfect factors, such as antenna position perturbations, mutual coupling effect, inconsistent gains/phases, non-linear amplifier which can significantly degrade the performance DOA estimation. This paper proposes method named super-resolution network (SDOA-Net) based on deep learning (DL)...

Spatial compressive sensing (SCS) has recently been applied to direction-of-arrival (DOA) estimation, owing its advantages over conventional versions. However the performance of (CS)-based estimation methods degrades when true DOAs are not exactly on discretized sampling grid. We solve off-grid DOA problem using deterministic maximum likelihood (DML) method. In this letter, basis convexity DML function, we propose a computationally efficient algorithm framework for estimation. Numerical...

Robust subspace tracking is a real-time solution for suppressing harsh interference and estimating the target in complex electromagnetic environments. In this paper, robust decentralized method proposed. The multi-sensor array divided into number of nodes, each attached with processor no central processing unit (CPU) deployed. order to reduce impact burst pulse, update algorithm designed through weighted least squares method. optimization model established paper synchronization error. Then...

The concept of dual function radar-communication (DFRC) provides solution to the problem spectrum scarcity. This paper examines a multiple-input multiple-output (MIMO) DFRC system with assistance reconfigurable intelligent surface (RIS). is capable sensing multiple spatial directions while serving users via orthogonal frequency division multiplexing (OFDM). objective this study design radiated waveforms and receive filters utilized by both radar users. mutual information (MI) used as an...

This paper addresses key challenges caused by high sampling rates in wideband joint spectrum sensing applications. A Direction of Arrival (DOA) and frequency estimation algorithm is proposed utilizing the Cross-Covariance Matrix (CCM) constructed from outputs an efficient undersampling array receiver with multiple elements, only one which connected time-delay branches. In contrast to previous autocorrelation-based methods, method reduces impact noise doubles maximum unit time-delay,...

In this letter, a new analysis technique for finding the convexity of iterative maximum likelihood (IML) methods direction-of-arrival (DOA) estimation is presented. The proposed can pave way in avoiding local solution when IML are utilized to estimate DOA, especially scenarios array with large antennas. From derivation, we see that as long initial DOA belongs approximate convex range estimated by our technique, very well without entering into minima, which particularly true arrays....