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In the underwater passive target detection system, direction of arrival (DOA) estimation of traditional uniform linear array (ULA) becomes poor when targets come from the direction of end-fire. To solve this problem, this paper develops a new DOA estimation method for the wideband signal based on A-shaped array, which is implemented via two ULAs distributed with a specific angle. Firstly, the A-shaped...
At present, the energy consumption of wireless communication network accounts for the vast majority of the operator's expenses. A cooperative energy saving mechanism is proposed in the framework of the self-organized network, based on the hybrid energy supplied, aiming at the energy consumption of cellular is too large and the utilization rate of green energy is low. According to the framework, the...
Machine-type communications (MTC), considered as one of potential technologies in 5G, has attracted more and more attention in recent years. Massive MTC connection density but with small data rate leads to preamble deficiency and network congestion in the network. In order to solve this problem, we jointly utilize the back off strategy and the hierarchical access control method. We formulate a Quality...
Average symbol error rate performance of a dual-hop amplify-and-forward (AF) multi-relay cooperative communication system in Rician fading environment is investigated in the paper. We also derive the closed-form expressions for the probability density function (pdf) and the moment generating function (MGF) of bounded SNR with a maximal-ratio combing receiver at the destination terminal. The correctness...
Most of ever proposed scanning radar angular superresolution algorithms are iterative, but the optimum iterations are difficult to determine. Since the performance of them is related to the signal to-noise ratio (SNR), an accurate SNR estimation would be of great significance to provide reference for assistance of adaptive iteration termination condition analysis. In this paper, a data-aided (DA)...
Distributed compressed sensing (DCS), exploiting the correlation among multiple signals, enjoys the advantage of reduced number of measurements. This paper considers a type of joint sparsity model in DCS, where each signal contains a common component and an innovation component. In order to reduce the transmission cost, the measurements are derived as the sign information of the compressed samples...
Reconstruction algorithm is a significant research field of compressed sensing (CS). Among existing algorithms, regularized orthogonal matching pursuit (ROMP) enjoys the merit of implementing fast recovery procedures. Recent studies have recognized that sparse signals have special sparse structure, which is useful for reconstruction as prior information. In this paper, by utilizing the sparse tree...
In this paper, we consider the sensor network, where multiple sensors communicate with a single fusion center via their respective direct links and relays. We propose schemes exploiting both quantize-and- forward (QF) and compressive sensing (CS) in relay networks, aiming to take full use of the diversity to recover the original sparse signals through the collection of a small number of samples. Such...
Dynamic-contrast enhanced magnetic resonance imaging (DCE-MRI) is a useful noninvasive tool for monitoring tumor angiogenesis and assessing therapeutic response. One major problem that prevents an accurate estimation of pharmacokinetic parameters is partial-volume effect (PVE). A multi-tissue compartmental modeling (CM) technique supported by convex analysis of mixtures (CAM) is used to overcome the...
For multi-node networks, a distributed compressed sensing scheme based on one-bit quantization is proposed, where signals at each node consist of common component and innovation component. To reduce the transmission cost, each node derives the measurements as the sign information of the compressed samples by using one-bit quantization. Based on the received sign information from different nodes, two...
Magnetic resonance sounding (MRS) signal is quite weak. Usually it is very susceptible to outside noise interference when measured using MRS groundwater detector, so that the characteristic parameters extracted from the returned signal data are inaccurate; eventually leading to an inaccurate location of groundwater through inversion explanation. And because of the high sampling frequency and large...
Real-time high-accuracy position information is essential to a variety of applications. This paper discusses anchor-based three-dimensional (3D) localization problem using range measurements. Under zero-mean independent Gaussian ranging error model, Cramér-Rao bound (CRB) is derived and its relationship with geometric dilution of precision (GDOP) is given. Maximum likelihood (ML) and least square...
In a cognitive radio system, the accuracy of spectrum sensing is critical for both primary and secondary systems. Both cooperative sensing and single-user multiple-antenna techniques have been proposed in the literature to enhance the accuracy of spectrum sensing. However, these techniques may require additional signaling and hardware costs, and can lead to user reliability problems or energy consumption...
For cognitive radios (CRs), compressive sampling (CS) techniques have been utilized for spectrum sensing in order to alleviate the high signal acquisition costs in the wideband regime. Given the desired sensing performance, the fundamental limit on the sampling rates is determined by the actual sparsity order Snz of the signal spectrum, which can be considerably lower than the Nyquist sampling rate...
Recent research has shown that chirp spread spectrum (CSS) is an attractive technology in broadband wireless communications and the single carrier frequency domain equalization (SC-FDE) is widely used in practical applications for its low complexity and high efficiency. In this paper, a novel CSS-FDE approach is proposed to resist the multipath fading degradation, which consists of the cyclic prefix...
A Virtual Polarization Detection (VPD) method based on the vector signal processing, is presented in this paper for the effective spectrum sensing of cognitive radios. The purpose of such VPD method is to exploit the orthogonal polarization component of primary signals besides the conjugate, in terms of vector information elements of signals. The spectrum sensing scenario of a single secondary user...
Location distinction, as the ability of a receiver to determine whether a transmitter has changed its position, is important for many wireless applications. In order to improve the performance of location distinction in noisy environment, we propose a novel method based on ordinal pattern measure. The existing methods, such as channel gains of multi-tonal probes, received signals strength and temporal...
This paper derives a ??-order perceptually motivated minimum mean square error (MMSE) spectral estimator of the short-time spectral magnitude of speech, aimed to improve the performance in speech enhancement. The performance of the proposed estimators with different values of ?? has been evaluated by two kinds of objective measures. We have also compared the waveforms of perceptually motivated MMSE...
In cognitive radios, the first and crucial task is to detect the spectrum holes or the presence of primary user by employing spectrum sensing. However, there exist two kinds of detection errors (i.e., miss-detection error and false-alarm error), which degrade the sensing performance severely. Aiming at minimizing the probability of total detection errors, based on the law of total probability we propose...
In a cognitive radio network, cooperative spectrum sensing is usually implemented to achieve higher detection accuracy than single user sensing. However, the performance of cooperative spectrum sensing is destructively impaired, when the reporting and inter-user channels both inevitably experience fading besides the detecting channel in reality. To solve this problem, we propose a robust scheme, called...
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