Xuwang Zhang, Jinping Sun, Yuxi Zhang, Songtao Lu, Chao Liu
{"title":"H-PMHT track-before-detect processing with DP-based track initiation and termination","authors":"Xuwang Zhang, Jinping Sun, Yuxi Zhang, Songtao Lu, Chao Liu","doi":"10.1049/iet-spr.2016.0208","DOIUrl":"https://doi.org/10.1049/iet-spr.2016.0208","url":null,"abstract":"Histogram probabilistic multi-hypothesis tracker (H-PMHT), based on probabilistic multi-hypothesis tracker, is a track-before-detect processing approach to detect dim targets. For the problem that H-PMHT cannot initiate new tracks and terminate tracks of disappeared targets, the authors propose a new dynamic programming (DP)-based H-PMHT algorithm, which can locate new targets by dealing with a few frames of sensor images and confirm disappeared targets according to their energy accumulation values along the existing tracks. With this sort of track initiation and termination mechanism, H-PMHT can be directly applied to realistic environments. Simulation results show that the DP-based H-PMHT algorithm can rapidly locate new targets and initiate tracks with a low false alarm rate, and quickly terminate tracks of disappeared targets with a low false termination probability.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129408989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial spectrum for direction of arrival estimation of multiple non-stationary wideband sources in the time-frequency plane","authors":"Om Cholnam, Dokkil Kang, Cholyong Jong","doi":"10.1049/iet-spr.2016.0022","DOIUrl":"https://doi.org/10.1049/iet-spr.2016.0022","url":null,"abstract":"A spatial spectrum function for estimating direction of arrival (DOA) of multiple and non-stationary wideband sources using a sensor array is proposed. The sensor array output signal is converted into the time–frequency (TF) array signal and the signal at each frequency bin is converted into the signal at the reference frequency using the focusing matrix. Then DOA is estimated by forming a novel spatial spectrum using the joint diagonalisation structure of spatial TF distribution matrices at auto-term points and by searching its peak points. Unlike the subspace-based high-resolution DOA estimation techniques, suggested method has no need of determining the number of sources and is applicable even when the number of sources is equal to the number of sensors.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115427867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"N-phase logistic chaotic sequence and its application for image encryption","authors":"Lingfeng Liu, Suoxia Miao, Hanping Hu, M. Cheng","doi":"10.1049/iet-spr.2015.0522","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0522","url":null,"abstract":"In this study, the authors use a non-symmetric partition to generate N-phase pseudorandom sequences using the logistic maps. The theoretical analysis shows that this N-phase logistic sequence is with uniform distribution, as well as independent and identically distributed. Numerical experiments show that these N-phase logistic sequences have high complexity and are with good randomness. A fast algorithm with its time complexity be O(M) is proposed to generate these N-phase sequences. Furthermore, they propose a new image encryption algorithm based on the N-phase logistic sequence, which is combined with both shuffling and substitution algorithms. Several security tests are carried out to demonstrate that the authors’ new algorithm is with a high security level, and can resist various attacks, which can be competitive with some other recently proposed image encryption algorithms.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130311042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sananda Kumar, A. Sahoo, U. K. Sahoo, D. P. Acharya
{"title":"QR-based robust diffusion strategies for wireless sensor networks using minimum-Wilcoxon-norm","authors":"Sananda Kumar, A. Sahoo, U. K. Sahoo, D. P. Acharya","doi":"10.1049/iet-spr.2015.0386","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0386","url":null,"abstract":"Impulsive noise and interference are always present in the environment in addition to additive white Gaussian noise that corrupts the measured data. In such cases, conventional adaptive estimation algorithms based on least squares error cost function provides poor performance in estimating the optimum parameter. In order to alleviate this shortcoming, a robust diffusion strategy based on QR decomposition and the Wilcoxon norm is proposed. The proposed QR-based diffusion minimum-Wilcoxon-norm (DMWN) provides faster convergence than the DMWN. To demonstrate the efficacy of the algorithm, simulations are carried out with different percentage of outliers in the desired data and found to be robust against traditional methods. Moreover, the condition for convergence in mean is analysed, and the algorithm is observed to be stable.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129364404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TDOA/FDOA estimation method based on dechirp","authors":"Fuyang Guo, Zi-jing Zhang, Linsen Yang","doi":"10.1049/iet-spr.2015.0460","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0460","url":null,"abstract":"A method based on dechirp is proposed to estimate the time difference of arrival and frequency difference of arrival between two linear frequency modulated signals. By dechirping two signals with different angles and computing the projection of cross ambiguity function (CAF) of the two dechirped signals on Doppler axis, a set of equations can be set up and the estimate can be obtained by using the least square method. For the sampled signal, an additional interpolation process is necessary to avert spectrum aliasing. Since searching the peak of CAF is avoided and the projection of CAF on Doppler axis can be evaluated efficiently using fast Fourier transforms, the proposed method has advantage on computational cost over existing methods. Simulation results validate the analysis of spectrum aliasing and demonstrate the performance of the method.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123233207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Iteratively reweighted correlation analysis method for robust parameter identification of multiple-input multiple-output discrete-time systems","authors":"Zhu Wang, Q. Jin, Xiaoping Liu","doi":"10.1049/iet-spr.2015.0279","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0279","url":null,"abstract":"In the engineering practices, the distributions of measurements are non-Gaussian as they contain outliers. As some slight deviations from the Gaussian assumption would probably cause the performance of an estimator to degrade significantly, a novel iteratively reweighted correlation analysis method is proposed for robust parameter estimation of multiple-input multiple-output (MIMO) systems, in the presence of Student's t-noises. The iterative method achieves good robustness and high efficiency by the combination of multivariable correlation analysis and t-distribution based M-estimators. The appropriate updating weights are able to enter into the sample cross-correlation function, so that the heavy tails are lowered, and the impact of outliers is weakened to the greatest extent. Based on the robust finite impulse response models, the identification procedure is then to reconstruct the noise-free estimates to identify the parameters of an MIMO system. The theoretical discussions and simulation results demonstrate that the proposed method works well.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131811520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed fast channel allocation in cognitive wireless sensor networks","authors":"Yong Sun","doi":"10.1049/iet-spr.2015.0481","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0481","url":null,"abstract":"For the feature of zero delay in continuous relay transmission, wireless sensor networks (WSNs) supporting multiple communication interfaces is much suitable for data collection and transmission backbone network of coal mine safety monitor and control system which has high demand of reliability in real-time data transmission. Based on in-depth analysis of the existing distributed channel allocation algorithms, this study proposes an innovative fast distributed channel allocation scheme based on largest edges of network topology (CALENT) with the combination of wireless network architecture features. By comparing with existing distributed channel allocation dis-link algorithm, CALENT has better performance in co-channel interference index and convergence velocity.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129656301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computing the proximity operator of the ℓp norm with 0 < p < 1","authors":"Feishe Chen, Lixin Shen, B. Suter","doi":"10.1049/iet-spr.2015.0244","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0244","url":null,"abstract":"Sparse modelling with the l p norm of 0 ≤ p ≤ 1 requires the availability of the proximity operator of the l p norm. The proximity operators of the l0 and l1 norms are the well-known hard- and soft-thresholding estimators, respectively. In this study, the authors give a complete study on the properties of the proximity operator of the l p norm. Based on these properties, explicit formulas of the proximity operators of the l1/2 norm and l2/3 norm are derived with simple proofs; for other values of p, an iterative Newton's method is developed to compute the proximity operator of the l p norm by fully exploring the available proximity operators of the l0, l1/2, l2/3, and l1 norms. As applications, the proximity operator of the l p norm with 0 ≤ p ≤ 1 is applied to the l p -regularisation for compressive sensing and image restoration.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122663881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Combinatorial optimisation for pulse position modulation-ultra wideband signal detection based on compressed sensing and analogue-to-information converter","authors":"Weidong Wang, Shafei Wang, Jun-an Yang, Hui Liu","doi":"10.1049/iet-spr.2015.0261","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0261","url":null,"abstract":"Pulse position modulation-ultra wideband (PPM–UWB) communication signal is hard to detect and sample directly, owing to its ultra-low power spectral density and wide bandwidth. There are already some researches on using analogue-to-information converter (AIC) technology and compressed sensing (CS) theory to under-sample and detect PPM-UWB communication signal, utilising its sparseness in time domain. However, greedy algorithm lacks of restriction on sparseness of reconstructed vector, while common restrictions on sparseness (e.g. convex optimisation) has high computational complexity. To solve these problems, a combinatorial optimisation method is proposed in this study to detect PPM–UWB communication signal based on CS and AIC. Reconstruction error and sparseness of reconstructed vector are restricted by l 2- and l p-norms, respectively. l p-norm (0 < p < 1), which is a non-convex function, has stricter restriction on sparseness than l 1-norm. Meanwhile, the steepest descent method is adopted for l p-norm optimisation, which can rapidly converge to objective values. Proposed method has more comprehensive restriction than greedy algorithm and convex optimisation, while maintain low complexity in computation as greedy algorithm. Numerical experiments demonstrate the validity of proposed method.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128850366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"System approximations based on Meixner-like models","authors":"Safa Maraoui, A. Krifa, Kais Bouzrara","doi":"10.1049/iet-spr.2015.0091","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0091","url":null,"abstract":"In this study, the authors investigate the parametric complexity reduction of the Meixner-like model for linear discrete-time system representation. The use of the Meixner-like functions is more suitable than the use of Laguerre functions and Kautz functions especially when the system have a slow initial onset or delay. The coefficients of the Meixner-like model can be estimated recursively from input–output data by the new representation. Noting that the selection of an arbitrary pole for the Meixner-like functions can raise the parameter number of the Meixner-like model. However, when the pole is set to its optimal value, an optimal expansion of transfer functions is produced. Therefore an optimisation technique is developed to generate the optimal Meixner-like pole, which is achieved by an iterative method, that consists in minimising the mean square error between the system output and the model output. Theoretical analysis and a numerical simulation show the efficiency of the approach.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132965276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}