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Parameter estimation in wireless sensor networks (WSN) using encrypted non-binary quantized data is studied. In a WSN, sensors transmit their observations to a fusion center through a wireless medium where the observations are susceptible to unauthorized eavesdropping. Encryption approaches for WSNs with fixed threshold binary quantization were previously explored. However, fixed threshold binary...
In this paper, the downlink channel estimation for millimeter wave (mmWave) MIMO systems over frequency selective channels is considered, where both the base station (BS) and the mobile station (MS) are equipped with massive number of antennas. We assume hybrid analog and digital beamforming structures are employed at BS and MS. To overcome the frequency selective fading, we employ orthogonal frequencydivision...
Estimation of an unknown deterministic vector from quantized sensor data is considered in the presence of spoofing and man-in-the-middle attacks. First, asymptotically optimum processing, which identifies and categorizes the attacked sensors into different groups according to distinct types of attacks, is outlined in the face of man-in-the-middle attacks. Necessary and sufficient conditions are provided...
Advanced Metering Infrastructure (AMI) plays a crucial role in Demand Side Management (DSM) in Smart Grid systems. It provides real-time, two-way communication capabilities between a utility/load aggregator and consumers. The communication infrastructure, by virtue of topological weaknesses, is vulnerable to cyber attacks that are undetectable or stealthy. This work investigates the topological vulnerabilities...
Ocean wave energy farms are composed of several wave energy converter devices. The objective of each converter is to capture the potential and kinetic energy in rolling ocean waves and convert them into electricity. An important task in optimizing power delivery from ocean wave energy farms is short term prediction of incoming ocean waves. Accurate predictions enable predictive wave energy converter...
Fingerprint embedding at the physical layer is a demonstrably powerful technique for secure message authentication. In this article, we build upon the general framework for embedding physical layer fingerprints to create an authenticated side channel for minimal cost. The authentication is enabled with the use of a low-power tag superimposed upon the message waveform; the signaling over the side channel...
The problem of global positioning system (GPS) spoofing attacks on smart grids endowed with phasor measurement units (PMUs) is addressed, taking into account the dynamical behavior of the states of the system. First, it is shown how GPS spoofing introduces a timing synchronization error in the phasor readings recorded by the PMUs and alters the measurement matrix of the dynamical model. Then, a generalized...
For many nonlinear estimation problems, classical lower bounds such as the Cramer-Rao bound (CRB) can characterize the mean squared error (MSE) performance only in the asymptotic region. While more powerful bounds like the Ziv-Zakai bound (ZZB) can also predict the best MSE performance in the nonasymptotic region, they may complicate the computation to an unaffordable extent. In this paper, for estimators...
This paper addresses the problem of adaptive multiple-input multiple-output (MIMO) radar detection in heterogeneous environment with compound-Gaussian clutter. The clutter covariances are assumed to be random and different from one transmit/receive pair to another with a priori knowledge about the environment. A two-step strategy is employed to design adaptive detector. Firstly, we obtain the generalized...
This paper considers the localization of an emitter with an unknown linear frequency modulation (LFM) signal in the passive radar systems based on the direct position determination (DPD) method. To improve the localization accuracy, a novel strategy, wherein the position of the emitter and the unknown transmitted signal are jointly estimated, is proposed. As a result, a six-dimensional estimation...
To approach green communication effectively, simultaneous wireless information and power transfer (SWIPT) has been exploited in cooperative networks. Different from the conventional battery-free designs in SWIPT, an adaptive harvested power allocation is considered in this paper. In particular, the cooperative nodes obtain both information and power from signals transmitted from the source node via...
In this paper, two different Cramer-Rao bounds are compared for joint target position and velocity estimation for either active or passive radar. The first bound considers the case where the target has been previously detected in a given range cell, so that propagation loss can be estimated. The second bound does not assume the target can be localized to a given range cell. The comparisons are carried...
In order to obtain the maximum power absorption of wave power devices, the mean gain factor q for the array and its characteristics are discussed in this paper. Some characteristics about the maximum q are studied through theoretical derivation and numerical examples. Also, the relationship between the maximum q and the properties of the optimum linear arrays of wave power devices are explored through...
In the IEEE 1588 Precision Time Protocol (PTP), the recovery of clock frequency and phase from packet timestamps must be modeled as a statistical estimation problem, due to the random nature of end-to-end delays that is inherent to packet-switched networks. Recently, a new minimax optimum estimator for phase offset estimation was proposed by the authors. This approach assumes that perfect frequency...
Distributed estimation of a deterministic scalar parameter by using quantized data in the presence of spoofing attacks, which modify the statistical model of the physical phenomenon, is considered. The paper develops an efficient heuristic approach to jointly detect attacks and estimate under spoofing attacks that are undetectable by a traditional approach that relies on noticing the data is not consistent...
In this paper, we focus on the theoretical localization accuracy of two localization algorithms in noncoherent MIMO radar systems with widely separated antennas. The first one is the optimal method for multitarget localization which is simply to expand the dimension of the parameter vector and thus perform a global maximum of the joint likelihood function of all the targets. The second one is a suboptimal...
State estimation of a power grid under undetected power injection attacks is considered. With a known prior probabilistic description of the state variables, the maximum a posteriori probability (MAP) estimator is adopted. Undetected attacks lead to model mismatch, which may greatly degrade the estimation performance. The mean square error (MSE) of the MAP estimate under model mismatch is derived...
The joint target position and velocity estimation performance using an active or passive distributed radar is investigated under more general, and practically occurring, conditions than assumed in previous work. In particular, the presented results allow nonorthogonal signals, spatially dependent Gaussian reflection coefficients, and spatially dependent Gaussian clutter-plus-noise. Given these cases...
To realize an efficient utilization of harvested energy and improve throughput with the help of a battery, a harvest-use-store power splitting (PS) relaying strategy with distributed beamforming is proposed for the wireless-powered multi-relay scenario in this paper. To this end, harvested energy via PS can be accumulated and stored for future usage, which affects throughput at subsequent time slots...
Short term forecasting is a vital interest to future implementations of a smart grid, particularly in the reliable integration of renewable energy resources. In this study we focus on multi-step prediction of high resolution wave power. Significant wave height data was first obtained from Belmullet Berth, Ireland and underwent several data preprocessing steps. These include a linear interpolation...
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