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This paper addresses the problem of detecting the presence of a complex-valued, possibly improper, but unknown signal, common among two or more sensors (channels) in the presence of spatially independent, unknown, possibly improper and colored, noise. Past work on this problem is limited to signals observed in proper noise. A source of improper noise is IQ imbalance during down-conversion of bandpass...
This paper reports on zero-rate noise contributions in a closed-loop MEMS vibratory gyroscope. In particular, we are investigating sources and composition of bias instability noise. This 1/f-noise is the dominant error component when integrating the angular rate for durations on the order of one minute. It is demonstrated that mechanical quadrature is not responsible for the bulk of bias instability...
In this paper, we propose to use correlations to optimize network operations in terms of energy-efficiency and data quality for data collection applications. We present a novel approach that uses spatial correlations between geographic neighboring nodes to form maximal cliques. Then, we apply it to protocol LEACH by adding a pre-selection phase to elect representative nodes in each clique to be activated...
Opportunity detection at secondary transmitters (TXs) is a key technique enabling cognitive radio (CR) networks. Such detection however cannot guarantee reliable communication at secondary receivers (RXs), especially when their association distance is long. To cope with the issue, this paper proposes a novel MAC called sense-and-predict (SaP), where each secondary TX decides whether to access or not...
In this paper, a cooperative cyclostationary compressed spectrum sensing algorithm is proposed to enable accurate, reliable and fast sensing of wideband spectrum. In the proposed algorithm each secondary-user (SU) sends the compressed data vector to the fusion center (FC) which has a copy of the sensing matrices for all cooperated SUs. Then, at the FC, the fast fourier transform accumulation method...
This paper presents a method of using wearable accelerometers and microphones to detect instances of ad-hoc physical collaborations between members of a group. 4 people are instructed to construct a large video wall and must cooperate to complete the task. The task is loosely structured with minimal outside assistance to better reflect the ad-hoc nature of many real world construction scenarios. Audio...
The success of many joint blind source separation techniques is dependent upon accurate estimation of the common signal subspace order across multiple datasets. This has stimulated the development of techniques to estimate the number of common signals across two datasets, in particular, a method that uses information theoretic criteria using the canonical correlation coefficients in the likelihood...
As technology evolves, its consumers gain considerable advantages to bring prosperity for all humankind. It is so in medical environment. Even though there always has been standards in hospital or other related medical sites, it is possible for people with the help of technology to study about simple theory of pathology and find another mechanism to meet those standards, i.e., to create new method...
the paper presents a cognitive radio networks which proposes a novel method of channel assessment analysis with dynamic channel allocation with the help of priority scheduling and improvement in data transmission. The paper first deals with the selection of a novel approach to sense the available spectrum in the area and then simulate a co-operative spectrum sensing system. The co-operative spectrum...
In this work, we focus on how to dispatch the mobile sensor nodes to heal the existed coverage holes in hybrid wireless sensor networks containing both stationary sensor nodes and mobile sensor nodes. Based on the proposed novel confident information coverage model(CIC), we formulate and define the confident information coverage hole healing problem(CICHH).For solving the CICHH problem, we design...
Measuring the velocity of materials that flow through pipelines or vessels in a process plant is a critical need as it can help to control the process as well as to assure an optimum flow condition. There is a wide variety of measurement systems and each design depends greatly on the properties and behaviour of the materials of the investigated flow. The rapid growth of the chemical manufacturing...
The emergence and existence of coverage holes in WSNs will dramatically degrade the network coverage performance and quality of service. To diminish the negative effects of coverage holes, this paper studies the confident information coverage hole detection problem(CICHD) based on the proposed novel confident information coverage model(CIC). For solving the CICHD problem, we design an effective heuristic...
In this paper, we study the problem of sensor placement for field estimation, where the best subset of potential sensor locations is chosen to strike a balance between the number of deployed sensors and estimation accuracy. Potential sensor locations are generated by sampling a continuous field of interest. We investigate the impact of sampling strategies on sensor placement, and show that compared...
We study the problem of remote reconstruction of a continuous signal from its multiple corrupted versions. We are interested in the optimal number of samples and their locations for each corrupted signal to minimize the total reconstruction distortion of the remote signal. The correlation among the corrupted signals can be utilized to reduce the sampling rate. For a class of Gaussian signals, we show...
Average travel speed for road sections is important information for traffic condition evaluation, transportation management, and so on. Vehicular crowdsensing can be used to collect data including real-time locations and velocities of vehicles, which can be further utilized to estimate travel speed. However, due to the uneven spatial-temporal distribution of vehicles and the variation of data-offering...
A large part of unoccupied licensed spectrum can be vital for many applications and can be accessed opportunistically by Cognitive Radio. Cognitive Radio serves to be a framework for forthcoming 5G communication systems and therefore, extensive research is being carried out in its different domains. The task of sensing spectrum should be efficient and reliable to avoid interference between licensed...
In this paper, we investigate the coexistence problem between Wi-Fi and a pre-standard form of LTE over unlicensed bands, namely, LTE-Unlicensed (LTE-U). We address two coexistence problems. First, the different access mechanisms for Wi-Fi and LTE-U can lead to an increase in the collision rate and higher latency for both systems. We propose a modified Wi-Fi operation mode, whereby Wi-Fi stations...
Channel state information (CSI) is usually necessary for downlink precoding, power allocation, etc. in multiple-input multiple-output (MIMO) systems. When the base stations (BS) are equipped with massive elements, the training overhead required by conventional CSI estimation methods becomes overwhelming, leading to unacceptable loss of spectrum efficiency. In this paper, we investigate pilot design...
In cognitive radio networks, multichannel spectrum sensing yield accurate results compared to single channel sensing schemes. However, often realistic correlation among multiple sensing channels is ignored. In this paper, we investigate the performance of a cognitive radio spectrum sensing systems considering more realistic exponential correlation among multiple sensing channels. Closed-form expressions...
Blind signal search is a technique used in many different types of systems, ranging from cognitive radio to broadcasting applications such as television and radio. A well-known approach used for this, is the Cyclostationary Feature Detection algorithm, which can estimate the baud rate of a detected signal, but is not capable of identifying its position in the spectrum, nor properly analyse spans with...
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