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In this paper, we consider the problem of signal-to-noise ratio (SNR) estimation from turbo-coded (TC) PAM and rectangular-QAM (RQAM) modulated signals over flat-fading channels. We derive for the first time closed-form expressions for the Cramér-Rao lower bounds (CRLBs) of the SNR estimates. We exploit the structure of the binary-reflected-Gray-code (BRGC) for bits-to-symbols mapping, so...
This paper presents sparse Bayesian learning (SBL)-based estimation schemes for an approximately sparse wireless multipath channel impulse response (MCIR) in a space-time trellis coded (STTC) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. The proposed schemes consider space-time trellis encoding over consecutive OFDM symbols and employ the multiple...
Most recently, activity localization and recognition has increasingly attracted significant attentions due to its broad range of applications to support smart devices. Pioneer systems based on WiFi signals usually require six to eight antennas to localize the activity while the commodity WiFi infrastructure does not meet this requirement. In addition, they also require the priori learning of wireless...
Positioning and tracking of wireless devices in indoor environment is a challenging research problem. Accurate localization of a moving target is a fundamental requirement in Wireless Sensor Networks monitoring applications. In this paper, a novel location tracking algorithm which combines learning methods is proposed. In previous work, regression tree using received signal strength method is proposed...
Accuracy and precision of positioning in UWB localization system depends on the quality of clock oscillators. Usually clock frequencies in particular nodes have different offsets what influences system performance. The paper presents a method for nodes synchronization and distribution of reference time interval. Anchor nodes measure time of arrival of packets conveying reference time information....
This paper presents a WiFi-based device-free crowd counting and occupancy estimation system that can be used in rooms/environments different from the ones in which the training process has been performed. Therefore, crowd counting is achieved without requiring another training phase in each new environment. The proposed approach analyzes the shape of the Doppler spectrum of the received signal which...
Accurate occupancy information of indoor environments is one of the key prerequisites for many pervasive and context-aware services, e.g. smart building/home systems. Some of the existing occupancy inference systems can achieve impressive accuracy, but they either require labour-intensive calibration phases, or need to install bespoke hardware such as CCTV cameras, which are privacy-intrusive by default...
In conventional wireless localization techniques, the performance is generally constrained by the number of reference nodes available in the communication range. Recently, alternative localization schemes have been proposed to utilize the internal sensors embedded in wireless devices to acquire additional useful location dependent parameters. The accelerometer based localization has attracted much...
A novel source signal preprocessing method and channel identification algorithm for blind separation were proposed in this paper. In this method, source signals were second-order cyclostationary(SoC) after preprocessing, and this feature was helpful for identifying channel and separating source signals effectively in receiving terminal. We call it pPSoCBSS which is the abbreviation for preprocessing...
Spectrum bands become more and more valuable to wireless services, because more wireless systems are fast deployed all around the world in recent years. Land mobile service is one of such wireless services. Due to great commercial interest in land mobile service, mobile networks are developing fast. However, the allocated spectrum to land mobile service is running off. More and more researchers and...
Vehicular traffic congestion is a major problem all over the world with significant economic and environmental impact. Adapting traffic signal durations is one method to alleviate this problem and has the advantage that it does not require any significant changes to existing infrastructure such as traffic poles and roads. Reinforcement learning is suitable for adapting the traffic signal durations...
In this paper we study a wireless passive sensor network. The sensors are deployed to estimate the true values of multiple active target signals. The sensors forward their observation to a fusion center, which processes the observation of each sensor by a set of fusion rules. One achievement of this paper is proposing an unbiased estimator with minimized variance of errors. To do so, we optimize both...
In cognitive radio networks, the location information of the primary receiver is critical for underlay spectrum sharing. However, positioning the primary receiver in frequency division duplex (FDD) systems is very challenging. In this paper, we propose a novel method to position the primary receiver using the full-duplex amplified-and-forward (AF) relay technique. Simulation results indicate that...
In this papers we address the optimal power allocation problem in a distributed passive radar sensor network system, where closely located nodes are capable of distributed beamforming. In this setup, the network of sensor nodes is viewed as a combination of node clusters, where each cluster is capable of time synchronization, and coordinated transmission. The goal of the network is to provide a reliable...
In this paper we address the power allocation problem for a system of distributed passive radar sensor network, where the location of the source is relatively constant, aiming at lifetime maximization and power consumption minimization. It is known that for a network in which the source location changes independently at each observation step, a nearly-optimal strategy can be obtained by minimizing...
Multi-channel access and spectrum agility represent significant challenges to temporal occupancy modelling for compliance enforcement of individual users/networks in opportunistic spectrum access (OSA) scenarios. In previous work, temporal occupancy estimation within spectrum bands was examined, when there was no requirement to track individual user/network behaviors. This approach was in line with...
The 5G network prospect of seamlessly connected global devices with delay-tolerant communication, millisecond latency and gigabits per second data rate suggests the need for high resolution location-aware systems with new methods for positioning services. Traditional geo-positioning methods have been characterized by detection and mitigation of NLOS paths where discrimination between LOS and NLOS...
In this paper, we propose a new method for distributed labelling of audio sources in wireless acoustic sensor networks (WASNs). We consider WASNs comprising of nodes equipped with multiple microphones observing signals transmitted by multiple sources. An important step toward a cooperation between the nodes, e.g. for a voice-activity-detection, is a network-wide consensus on the source labelling such...
To localize implant devices accurately, it is efficient to estimate a human internal structure with incident electromagnetic waves based on an electromagnetic (EM) imaging technique. In order to realize high resolution in such a localization system, it has been pointed out that huge number of measurement points should be required. To solve this problem, we investigated the possibility to apply the...
The performance of wireless communication system is not only determined by the transmitter and the receiver, but also by the wireless channel. In practical communication systems, wireless channel is extremely complex and uncertain, which will lead to the distortion of the received signal. In order to recover the transmitted signal more accurately, the receiver needs the channel estimation operation...
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