Comparison of UWB Target Identification Algorithms for Through-Wall Imaging Applications

Hantscher, S.; Praher, B.; Reisenzahn, A.; Diskus, C.G.

doi:10.1109/eurad.2006.280284

Cited by 16 publications

(12 citation statements)

References 5 publications

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“…For example, it can be shown that , where is the FIM for the single-path case, given by (11) and (12). The expressions for the remaining submatrices of are given in Appendix B.…”

Section: A General Theorymentioning

confidence: 99%

“…From (39), the expected value of can be obtained as (40) (41) for , where (42) under the assumption that . 11 As an example, the cumulative distribution function (CDF) of is plotted in Fig. 3 for various pulsewidths, where , ,…”

Section: A General Theorymentioning

confidence: 99%

“…Proof: From the model in (26) for the time delay estimates, the distribution of for a given is obtained as (27) Then, the FIM can be shown to be equal to that given by (11) and (12), by using the fact that the expression for in Lemma 1, , can be expressed as [33].…”

Section: Suboptimal Solutionmentioning

confidence: 99%

“…In multi-user environments, in order to prevent catastrophic collisions among pulses of different users and thus provide robustness against multiple access interference, each information symbol is represented by a sequence of pulses and the positions of the pulses within that sequence are determined by a pseudorandom time-hopping (TH) sequence specific to each user [4]. In addition to communication applications, UWB systems have also been considered for radar/imaging applications, such as medical imaging [8], [9], ground penetrating radars [10], through-wall imaging [11], [12], and surveillance systems [13]. In this paper, we consider the problem of estimating the parameters of a moving object in a given environment by means of pulse-based UWB signals, where the main focus is to estimate the frequency of a periodically moving object.…”

Section: Introductionmentioning

confidence: 99%

“…From this viewpoint, the problem can be considered in a UWB radar framework. The main advantages of UWB radars [14] compared to conventional narrowband radars [15]- [17] are high accuracy, low transmission power, and good penetration capability, which facilitates through-the-wall applications [11], [12], [18].…”

Section: Introductionmentioning

confidence: 99%

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Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems

Gezici

2007

IEEE J. Sel. Top. Signal Process.

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Abstract-In this paper, Cramer-Rao lower bounds (CRLBs) for estimation of signal parameters related to periodically moving objects in pulse-based ultra-wideband (UWB) systems are presented. The results also apply to estimation of vital parameters, such as respiration rate, using UWB signals. In addition to obtaining the CRLBs, suboptimal estimation algorithms are also presented. First, a single-path channel with additive white Gaussian noise is considered, and closed-form CRLB expressions are obtained for sinusoidal object movements. Also, a two-step suboptimal algorithm is proposed, which is based on time delay estimation via matched filtering followed by least-squares estimation, and its asymptotic optimality property is shown in the limit of certain system parameters. Then, a multipath environment is considered, and exact and approximate CRLB expressions are derived. Moreover, suboptimal schemes for parameter estimation are studied. Simulation studies are performed for the estimation of respiration rates in order to evaluate the lower bounds and performance of the suboptimal algorithms for realistic system parameters.Index Terms-Cramer-Rao lower bound (CRLB), estimation theory, impulse radio (IR), least-squares (LS) estimation, matched filtering, ultra-wideband (UWB).

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“…For example, it can be shown that , where is the FIM for the single-path case, given by (11) and (12). The expressions for the remaining submatrices of are given in Appendix B.…”

Section: A General Theorymentioning

confidence: 99%

Section: A General Theorymentioning

confidence: 99%

Section: Suboptimal Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems

Gezici

2007

IEEE J. Sel. Top. Signal Process.

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A novel application of artificial neural network for recognition of target behind the wall

Singh

Dwivedi

Jain

2019

Micro & Optical Tech Letters

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In this article, a methodology for recognition of an object behind a wall has been proposed. So far research is mainly focused on target detection and localization issue. Very limited work has been reported so far for complete identification (ie, shape and size) of the target. Therefore in this article, a novel Artificial Neural Network based technique is proposed for identification of the targets behind the wall with the through the wall imaging system. For this purpose, an active microwave imaging radar system operating at frequency 3.5‐5.5 GHz has been ingeniously designed. An extensive number of experiments were performed while keeping targets made of metal and wood in different shapes and sizes. For identification of the target, an artificial neural network based image reconstruction model has been proposed. From experimental results, it was found that once training of proposed neural network with sample teaching images has been done, it could automatically rectify distortions and reconstruct nearly actual shape and size of the target for test targets. The obtained results are quite satisfactory.

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Target identification in foliage environment using UWB radar with hybrid wavelet–ICA and SVM method

Jiang

2014

Physical Communication

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Comparison of UWB Target Identification Algorithms for Through-Wall Imaging Applications

Cited by 16 publications

References 5 publications

Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems

Theoretical Limits for Estimation of Periodic Movements in Pulse-Based UWB Systems

A novel application of artificial neural network for recognition of target behind the wall

Target identification in foliage environment using UWB radar with hybrid wavelet–ICA and SVM method

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