Ambiguity function and Cramér–Rao bounds for universal mobile telecommunications system-based passive coherent location systems

Stinco, Pietro; Greco, Maria; Gini, Fulvio; Rangaswamy, Muralidhar

doi:10.1049/iet-rsn.2011.0390

Cited by 73 publications

(57 citation statements)

References 19 publications

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“…Background and Motivation P ASSIVE radar network systems have recently received a growing interest, which use signals of opportunity such as television broadcasts [1], frequency modulation (FM) Manuscript M. Sellathurai is with the School of Engineering and Physical Sciences, Herriot Watt University, Edinburgh EH14 4AS, U.K. e-mail: mathini@ieee.org. commercial radio [2], global positioning system (GPS) [3], universal mobile telecommunications systems (UMTS) [4][5][6], and WiFi [7], as illuminators for target detection, estimation, and classification. Since only receivers are required in passive radar networks, they have the advantages of low probability of intercept (LPI) [8][9][10] and low implementation costs.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In [4,6,[22][23][24], the CRLB was addressed for passive radar systems. Stinco et al in [6] compute the monostatic and bistatic average AFs for a quadrature phase shift keying (QPSK) signal and the modified CRLBs (MCRLBs) for the estimation of target range and velocity. Gogineni et al extend the results in [6] and compute the MCRLB [3] for target estimation using UMTS signals as the illuminators of opportunity in passive multistatic radar systems.…”

Section: Introductionmentioning

confidence: 99%

“…Stinco et al in [6] compute the monostatic and bistatic average AFs for a quadrature phase shift keying (QPSK) signal and the modified CRLBs (MCRLBs) for the estimation of target range and velocity. Gogineni et al extend the results in [6] and compute the MCRLB [3] for target estimation using UMTS signals as the illuminators of opportunity in passive multistatic radar systems. In [22], the maximum likelihood estimators (MLEs) and expected CRLB of the target location and velocity vector are described in passive radar systems with multiple signals of opportunity and multiple receive stations, which indicates that large performance gains can be achieved through the use of multiple antennas.…”

Section: Introductionmentioning

confidence: 99%

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Transmitter Subset Selection in FM-Based Passive Radar Networks for Joint Target Parameter Estimation

et al. 2016

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Passive radar network systems utilize multiple transmitters of opportunity and multichannel receivers to offer remarkable performance improvement due to the advantage of signal and spatial diversities. The frequency modulation (FM) commercial radio signals have become attractive for passive radar applications owing to their wide-spread availability and the favourable Doppler resolution. In this paper, two transmitter subset selection schemes, balancing the trade-off between target parameter estimation accuracy and infrastructure utilization, are proposed for FM-based passive radar networks. In the first, the subset size of selected transmitters employed in the estimation process is minimized by effectively selecting a subset of transmitters such that the required target parameter estimation mean-square error (MSE) threshold is attained. In the second, an optimal subset of transmitters of a predetermined size κ is selected such that the estimation MSE is minimized. These problems are formulated as a knapsack problem (KP), where the coherent Cramér-Rao lower bound (CRLB) is used as a performance metric. Both transmitter subset selection schemes are tackled with greedy selection algorithms by successively selecting transmitters so as to minimize the performance gap between the CRLB and a predetermined MSE threshold or a predetermined subset size. Numerical simulations demonstrate that the problem of transmitter subset selection is not only a function of the transmitted waveforms but also of the relative geometry between the target and the passive radar network systems, which leads to reductions in both computational load and signal processing costs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Transmitter Subset Selection in FM-Based Passive Radar Networks for Joint Target Parameter Estimation

et al. 2016

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“…These signals have been shown to provide good resolution as an illuminator for passive bistatic radar systems. [9] covers a detailed ambiguity function analysis using these illuminators in bistatic configuration to study the global resolution performance in terms of mainlobe width and sidelobes. Further, it also computes the bistatic MCRLB for these systems.…”

Section: Introductionmentioning

confidence: 99%

Cramer-Rao bound analysis for passive multistatic radar using UMTS signals

Gogineni

Rangaswamy

Rigling

et al. 2014

2014 IEEE Radar Conference

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Mobile communications systems are being increasingly deployed and the favorable ambiguity function properties of these signals make them useful for passive bistatic radar applications. Further, simultaneously using multiple illuminators of opportunity in a multistatic configuration will enhance the radar performance, providing spatial diversity and increased resolution. We compute modified Cramer-Rao lower bounds (MCRLB) for the target parameter estimation error using universal mobile telecommunications system (UMTS) signals as illuminators of opportunity for passive multistatic radar systems.

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Modified Cramér‐Rao lower bounds for joint position and velocity estimation of a Rician target in OFDM‐based passive radar networks

et al. 2017

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Owing to the increased deployment and the favorable range and Doppler resolutions, orthogonal frequency‐division multiplexing (OFDM)‐based L band digital aeronautical communication system type 1 (LDACS1) stations have become attractive systems for target surveillance in passive radar applications. This paper investigates the problem of joint parameter (position and velocity) estimation of a Rician target in OFDM‐based passive radar network systems with multichannel receivers placed on moving platforms, which are composed of multiple OFDM‐based LDACS1 transmitters of opportunity and multiple radar receivers. The modified Cramér‐Rao lower bounds (MCRLBs) on the Cartesian coordinates of target position and velocity are computed, where the received signal from the target is composed of dominant scatterer (DS) component and weak isotropic scatterers (WIS) component. Simulation results are provided to demonstrate that the target parameter estimation accuracy can be improved by exploiting the DS component. It also shows that the joint MCRLB is not only a function of the transmitted waveform parameters, target radar cross section, and signal‐to‐noise ratio but also a function of the relative geometry between the target and the passive radar networks. The analytical expressions of MCRLB can be utilized as a performance metric to access the target parameter estimation in OFDM‐based passive radar networks in that they enable the selection of optimal transmitter‐receiver pairs for target estimation.

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Ambiguity function and Cramér–Rao bounds for universal mobile telecommunications system-based passive coherent location systems

Cited by 73 publications

References 19 publications

Transmitter Subset Selection in FM-Based Passive Radar Networks for Joint Target Parameter Estimation

Transmitter Subset Selection in FM-Based Passive Radar Networks for Joint Target Parameter Estimation

Cramer-Rao bound analysis for passive multistatic radar using UMTS signals

Modified Cramér‐Rao lower bounds for joint position and velocity estimation of a Rician target in OFDM‐based passive radar networks

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