Collaborative mobile target imaging in UWB wireless radar sensor networks

Arik, Muharrem; Akan, Özgür B.

doi:10.1109/jsac.2010.100820

Cited by 31 publications

(16 citation statements)

References 14 publications

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“…U LTRA-WIDEBAND (UWB) radar imaging is of great importance to a wide variety of applications, including sensor networks [1], through-the-wall imaging [2], [3], breast tumor detection [4], and ground penetrating radar [5]. Certain applications, such as security systems, require the imaging process to be both accurate and fast.…”

Section: Introductionmentioning

confidence: 99%

Ultra-Wideband Radar Imaging Using a Hybrid of Kirchhoff Migration and Stolt F-K Migration With an Inverse Boundary Scattering Transform

Sakamoto¹,

Sato²,

Aubry³

et al. 2015

IEEE Trans. Antennas Propagat.

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In this paper, we propose a fast and accurate radar imaging algorithm that combines Kirchhoff migration with Stolt's frequency-wavenumber (F-K) migration. F-K migration is known as a fast imaging method in the F-K domain, while Kirchhoff migration is reported to be more accurate. However, Kirchhoff migration requires the reflection points to be located as a function of the antenna position and the delay time. This prevents the use of fast Fourier transforms because Kirchhoff migration must be processed in the time domain, and this can be extremely timeconsuming. The proposed algorithm overcomes this hurdle by introducing the texture angle and the inverse boundary scattering transform. These two tools enable the locations of the reflection points to be determined rapidly for each pixel of a radar image. The radar signals are then modified according to the Kirchhoff integral, before Stolt F-K migration is applied in the frequency domain to produce an accurate radar image. To demonstrate the performance of the proposed method, the conventional delay-andsum (DAS) migration, Kirchhoff migration, Stolt F-K migration, and the proposed method are applied to the same measured datasets.

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Section: Introductionmentioning

confidence: 99%

Ultra-Wideband Radar Imaging Using a Hybrid of Kirchhoff Migration and Stolt F-K Migration With an Inverse Boundary Scattering Transform

Sakamoto¹,

Sato²,

Aubry³

et al. 2015

IEEE Trans. Antennas Propagat.

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“…UWB radar is a rapidly emerging technology with uniquely attractive features, inviting major advances in positioning systems with centimeter-level accuracy, high-resolution ground-penetrating radar, through-wall imaging, precision navigation, and asset tracking [12]. UWB characterizes transmission systems with instantaneous spectral occupancy in excess of 500 MHz or a fractional bandwidth of more than 20% [13][14][15]. Such systems rely on ultrashort (nanosecond scale) pulses that can be free of sine-wave carriers and do not require intermediate frequency processing because they can operate at baseband.…”

Section: Introductionmentioning

confidence: 99%

Cognitive chaotic UWB-MIMO radar based on nonparametric Bayesian technique

Nijsure

Kaddoum

Leung

2015

IEEE Trans. Aerosp. Electron. Syst.

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This work presents a cognitive waveform selection mechanism for chaotic ultra-wideband multiple-input multiple-output (MIMO) radars. It utilizes the target discrimination capability of a Dirichlet process mixture model (DPMM)-based clustering approach to discriminate individual extended targets and applies a mutual information (MI)-based mechanism to select the best transmission waveform. This joint DPMM-MI cognitive mechanism aims at enhancing target discrimination and detection, showing a 3-dB performance gain in achieving 0.9 target detection probability over conventional MIMO radar waveforms. . His research interests include cognitive radar network design, Bayesian nonparametric methods, UWB radar systems, robust ADS-B multilateration systems, cognitive radio networks, information theory, radar signal processing, electronic warfare, and software-defined radio systems. Georges Kaddoum is an assistant professor of electrical engineering at Ecole de technologie superieure (ETS), University of Quebec, Montreal, Quebec, Canada. He received his bachelor's degree in electrical engineering from Ecole nationale superieure de techniques avancees, Bretagne, and his M.S. degree in telecommunications and signal processing (circuits, systems, and signal processing) from the Universite de Bretagne Occidentale and Telecom Bretagne, Brest, France, in September 2005. In December 2008, he earned his Ph.D. degree in signal processing and telecommunications with honors from the National Institute of Applied Sciences, University of Toulouse, France. He was a scientific researcher at ETS in 2012 and then promoted to assistant professor in November 2013. In 2014, he was awarded the ETS research chair in physical layer security for wireless networks. In addition, he was a recipient of the Best Paper Award at the IEEE International conference Wireless and Mobile Computing, Networking and Communications (WiMob 2014) with three other coauthors. His recent research activities cover wireless communication systems, chaotic modulations, secure transmissions, and space communications and navigation. He has published over 60 journal and conference papers and has held two pending patents. Since 2010, has has been working as a scientific consultant in the field of space and wireless telecommunications with several companies (Intelcan Techno-systems, MDA Corporation, and Radio-IP companies). Henry Leung (F'15) received his Ph.D. degree in electrical and computer engineering from McMaster University, Hamilton, Ontario, Canada. He is now a professor of the Before that, he was with the Defence Research Establishment, Ottawa, Ontario, Canada, where he was involved in the design of automated systems for air and maritime multisensor surveillance. His research interests include chaos, computational intelligence, information fusion, data mining, robotics, sensor networks, and wireless communications.

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“…I N RECENT years, wireless sensor networks (WSNs) have received much attention due to their application potentials [1]- [5]. One typical WSN is the distributed radar sensor network [3].…”

Section: Introductionmentioning

confidence: 99%

Carrier Frequency Synchronization in Distributed Wireless Sensor Networks

Wang

2015

IEEE Systems Journal

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Carrier frequency synchronization is a difficult problem in distributed wireless sensor networks (WSNs) due to its high-precision requirement. In this paper, we propose simple and easily implementable carrier frequency synchronization for distributed WSNs with a master-slave structure. The slave sensors receive the calibration signal broadcasted from the master sensor (base station) and modulate them in a novel manner such that the retransmitted signal can be easily extracted by the master sensor to compensate the carrier frequency synchronization errors. The advantage of this method is that it does not require a priori establishment of the time synchronization between the master sensor and slave sensors and that no additional resource would be required to transmit as synchronization signal. Moreover, the impact of Doppler frequency shift is canceled to some degree in this approach. We present the carrier synchronization compensation algorithm and discuss several practical implementation issues. We also derive the stochastic Cramér-Rao lower bound performance analysis of the method and provide numerical results that validate the analysis.

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Collaborative mobile target imaging in UWB wireless radar sensor networks

Cited by 31 publications

References 14 publications

Ultra-Wideband Radar Imaging Using a Hybrid of Kirchhoff Migration and Stolt F-K Migration With an Inverse Boundary Scattering Transform

Ultra-Wideband Radar Imaging Using a Hybrid of Kirchhoff Migration and Stolt F-K Migration With an Inverse Boundary Scattering Transform

Cognitive chaotic UWB-MIMO radar based on nonparametric Bayesian technique

Carrier Frequency Synchronization in Distributed Wireless Sensor Networks

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