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Energy efficient cognitive radio networks can simultaneously improve spectrum efficiency (SE) and energy efficiency (EE) of wireless communication networks. This paper studies energy efficient spectrum sensing interval, spectrum sensing energy and transmit power allocation scheme of the secondary user (SU) in CR networks. The EE maximization problem subject to the transmit power constraint and average...
Benefiting from compressed sensing theory, sub-Nyquist spectrum sensing (SNSS) has been considered as a promising way to deal with the implementation limitations of conventional wideband spectrum sensing in cognitive radio (CR) networks. However, in most existing SNSS methods, the prior knowledge of the monitored frequency bands is needed to determine the termination condition of the iteration process...
The existing localization methods for the satellite communication interference source based on satellites are too complex and costly to be used in practical applications. A new localization method based on two satellites for the interference source is proposed in this paper. By combining two localization parameters named time difference of arrival (TDOA) between two satellites and the direction of...
Multiple input multiple output (MIMO) and pre-coder are the effective methods to overcome the influence of the time-varying channel since it is a key factor of the communication performance. However, the existing researches of MIMO and pre-coder focus on the spectrum efficiency under the Gaussian input assumption. This drawback limits the pre-coder technology application in the green communication...
In this paper, we propose a high order cumulants based spectrum sensing and power recognition (CSR) detector for hybrid interweave-underlay spectrum access, where the primary system is with multiple transmit power levels. Specifically, to detect the idle spectrum when primary user (PU) is absent, high order cumulants based spectrum sensing is performed in interweave model. When PU is detected, the...
We focus on the 3-dimensional (3D) source localization passively by using TDOA and AOA in the presence of sensor errors. Determining the position from the TDOA and AOA measurements is not an easy task because the relationship between them is nonlinear. We present a new WLS solution that the TDOA equation is simpler than relevant literature (Yin and Wan, A Simple and Accurate TDOA-AOA Localization...
Abstract-A max-min fairness resource allocation is studied for wideband cognitive radio under sensing-based spectrum sharing with simultaneous wireless information and power transfer. Specifically, the throughput of the worse-case secondary user is maximized by jointly optimizing the sensing time, transmit power and subchannel allocation, subject to constraints on energy harvesting, interference power...
A coherent detection receiver for multiple symbol trellis-coded continuous phase frequency shift keying (MSTC-CPFSK) system in burst-mode transmission is proposed. The receiver exploits a joint data-aided (DA) acquisition and phase-locked loop (PLL) tracking algorithm (DA-PLL) for coherent demodulation. Firstly, an all-zero sequence is utilized as a pilot for DA acquisition and then, a second-order...
The passive synthetic aperture antenna array (PSAAA) technology is inspired by the idea of synthetic aperture sonar and synthetic aperture radar, which is a new method used to the passive radar source localization using only one small aircraft. Virtual time difference of arrival (VTDOA) estimation is critical for the PSAAA technology, it is defined as the time difference of the radar pulse transmission...
The rapid growth of ubiquitous applications and location-based services has made indoor navigation an interesting topic. Some indoor localization solutions exploit radio information and Inertial Measurement Units (IMUs), which are embedded in most of the modern smartphones. In this paper, we present a real-time indoor localization approach that fuses WiFi Receiving Signal Strength Indicator (RSSI)...
In this paper, we propose two low-complexity automatic modulation classification (AMC) classifiers based on order-statistics: the linear support vector machine (LSVM) and the approximate maximum likelihood (AML). Specifically, LSVM applies the linear combination of the entire order-statistics of the received signals for the classification, while AML resorts to the asymptotic distribution of the reduced...
This paper considers the effect of channel estimation error (CEE) on the soft-output bit log-likelihood ratio (LLR) in a MIMO detection system, which the source sends the quadrature amplitude modulation (QAM) to the detector through Rayleigh fading channel. The new expression for the LLR is obtained for MMSE receiver using known pilot-symbol-aided channel estimation. Meanwhile, the optimal method...
This paper studies the parameter-tuned stochastic resonance (PSR) effect in Binary PAM Signal Processing under coherent and non-coherent received by the measure of Bit Error Rate (BER). Based on probability density function of general Gaussian noise, we derive an analytical expression of the BER under coherent and non-coherent received through different types of noise. The theoretical and numerical...
It is of great significance to choose the adaptive parameters of bistable system which not only ensure the phenomenon stochastic resonance can take palace but make the performance of the output signal optimum. In this paper, A precise parameter-tuned stochastic resonator (PSR) is proposed to improve the receiving performance of binary pulse amplitude modulated (BPAM) signal at low signal-to-noise...
The time delay estimation of the TDOA is signification in passive source localization systems, and the estimation accuracy may directly affect the source location performance. We address the problem of passive blind estimation of time-delay for uncorrelated co-frequency interference source signal based on wireless sensor network (WSN). The received mixtures are modeled as unknown linear combinations...
With the increasing importance of radio spectrum in the national economy and safety, this paper develops a wide area and wide band radio spectrum monitoring system which uses sensor networks. The significant contribution of the paper is introducing wireless sensor networks into the design of the spectrum monitoring system. A spectrum monitoring oriented private network architecture is designed to...
In this paper, we consider the sequential detection problem in a new cognitive radio (CR) scenario when the primary user (PU) works with more than one transmit power levels. The targets of the secondary user (SU) is not only to detect the presence of PU but also to recognize PU's transmit power levels. We formulate a valid sequential detection approach via the modified Neyman Pearson (NP) criterion...
Indoor positioning has become an emerging research area because of huge commercial demands for location-based services in indoor environments. Channel State Information (CSI) as a fine-grained physical layer information has been recently proposed to achieve high positioning accuracy by using range-based methods, e.g., trilateration. In this work, we propose to fuse the CSI-based ranges and velocity...
In this paper, we consider the sequential spectrum sensing in a practice-matching cognitive raio (CR) scenario, where the primary user (PU) can operate under more than one transmit power levels as regulated in IEEE 802.11 Series, LTE, LTE-A, etc. In this case, the sensing targets not only include detecting the presence of PU but also include recognizing the transmit power level of PU. We propose two...
In this paper, we explore the underlay cognitive relay networks in the presence of hardware impairment. To avoid interfering with the primary user's communications, the transmission powers of the secondary source and relays are adaptively adjusted by considering the following three practical effects: i) the maximum transmission power constraint at the secondary transmission nodes, ii) the interference...
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