3 research outputs found
Target Detection Architecture for Resource Constrained Wireless Sensor Networks within Internet of Things
Wireless sensor networks (WSN) within Internet of Things (IoT) have the potential
to address the growing detection and classi�cation requirements among many
surveillance applications. RF sensing techniques are the next generation technologies
which o�er distinct advantages over traditional passive means of sensing
such as acoustic and seismic which are used for surveillance and target detection
applications of WSN. RF sensing based WSN within IoT detect the presence of
designated targets by transmitting RF signals into the sensing environment and
observing the re
ected echoes. In this thesis, an RF sensing based target detection
architecture for surveillance applications of WSN has been proposed to detect the
presence of stationary targets within the sensing environment.
With multiple sensing nodes operating simultaneously within the sensing region,
diversity among the sensing nodes in the choice of transmit waveforms is required.
Existing multiple access techniques to accommodate multiple sensing nodes within
the sensing environment are not suitable for RF sensing based WSN. In this thesis,
a diversity in the choice of the transmit waveforms has been proposed and transmit
waveforms which are suitable for RF sensing based WSN have been discussed. A
criterion have been de�ned to quantify the ease of detecting the signal and energy
e�ciency of the signal based on which ease of detection index and energy e�ciency
index respectively have been generated. The waveform selection criterion proposed
in this thesis takes the WSN sensing conditions into account and identi�es the
optimum transmit waveform within the available choices of transmit waveforms
based on their respective ease of detection and energy e�ciency indexes.
A target detector analyses the received RF signals to make a decision regarding
the existence or absence of targets within the sensing region. Existing target detectors
which are discussed in the context of WSN do not take the factors such
as interference and nature of the sensing environment into account. Depending
on the nature of the sensing environment, in this thesis the sensing environments are classi�ed as homogeneous and heterogeneous sensing environments. Within
homogeneous sensing environments the presence of interference from the neighbouring
sensing nodes is assumed. A target detector has been proposed for WSN
within homogeneous sensing environments which can reliably detect the presence
of targets. Within heterogeneous sensing environments the presence of clutter and
interfering waveforms is assumed. A target detector has been proposed for WSN
within heterogeneous sensing environments to detect targets in the presence of
clutter and interfering waveforms. A clutter estimation technique has been proposed
to assist the proposed target detector to achieve increased target detection
reliability in the presence of clutter. A combination of compressive and two-step
target detection architectures has been proposed to reduce the transmission costs.
Finally, a 2-stage target detection architecture has been proposed to reduce the
computational complexity of the proposed target detection architecture
RF Sensing Based Target Detector for Smart Sensing Within Internet of Things in Harsh Sensing Environments
In this paper, we explore surveillance and target detection applications of Internet of Things (IoT) with radio detection as the primary means of sensing. The problem of surveillance and target detection has found its place in numerous civilian and military applications , andIoTiswellsuitedtoaddress this problem. Radio frequency (RF) sensing techniques are the next generation technologies, which offer distinct advantages over traditional means of sensing used for surveillance and target detection applications of IoT. However, RF sensing techniques have yet to be widely researched due to lack of transmission and computational resources within IoT. Recent advancements in sensing, computing, and communication technologies have made radio detection enabled sensing techniques available to IoT. However, extensive research is yet to be done in developing reliable and energy efficient target detection algorithms for resource constrained IoT. In this paper, we have proposed a multi-sensor RF sensing-based target detection architecture for IoT. The proposed target detection architecture is adaptable to interference, which is caused due to the co-existence of sensor nodes within IoT and adopts smart sensing strategies to reliably detect the presence of the targets .A wave form selection criterion has been proposed to identify the optimum choice of transmit waveforms within a given set of sensing conditions to optimize the target detection reliability and power consumption within the IoT. A dual-stage target detection strategy has been proposed to reduce the computational burden and increase the lifetime of the sensor nodes
Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter
The problem of optimising the target detection performance of MIMO radar in the presence of clutter is considered. The increased false alarm rate which is a consequence of the presence of clutter returns is known to seriously degrade the target detection performance of the radar target detector, especially under low SNR conditions. In this paper, a mathematical model is proposed to optimise the target detection performance of a MIMO radar detector in the presence of clutter. The number of samples that are required to be processed by a radar target detector regulates the amount of processing burden while achieving a given detection reliability. While Subspace Compressive GLRT (SSC-GLRT) detector is known to give optimised radar target detection performance with reduced computational complexity, it however suffers a significant deterioration in target detection performance in the
presence of clutter. In this paper we provide evidence that the proposed mathematical model for SSC-GLRT detector outperforms the existing detectors in the presence of clutter. The performance analysis of the existing detectors and the proposed SSC-GLRT detector for MIMO radar in the presence of clutter are provided in this paper