Browsing by Subject "Frequency estimation"

Now showing 1 - 13 of 13

Open Access
Adjusted hazard rate estimator based on a known censoring probability
(Taylor & Francis, 2011) Gürler, Ü.; Kvam, P.
In most reliability studies involving censoring, one assumes that censoring probabilities are unknown. We derive a nonparametric estimator for the survival function when information regarding censoring frequency is available. The estimator is constructed by adjusting the Nelson-Aalen estimator to incorporate censoring information. Our results indicate significant improvements can be achieved if available information regarding censoring is used. We compare this model to the Koziol-Green model, which is also based on a form of proportional hazards for the lifetime and censoring distributions. Two examples of survival data help to illustrate the differences in the estimation techniques.
Open Access
Coded-reference ultra-wideband systems
(2008-09) Gezici, Sinan
Transmitted-reference (TR) and frequency-shifted reference (FSR) ultra-wideband (UWB) systems employ pairs of reference and data signals, which are shifted in the time and frequency domains, respectively, to facilitate low-to-medium data rate communications without the need for complex channel estimation and template signal generation. On the other hand, the recently proposed coded-reference (CR) UWB systems provide orthogonalization of the reference and data signals in the code domain, which has advantages in terms of performance and/or implementation complexity. In this paper, CR UWB systems are investigated. First, it is shown that a CR UWB system can be considered as a generalized non-coherent pulse-position modulated system. Then, an optimal receiver according to the Bayes decision rule is derived for CR UWB systems. In addition, the asymptotic optimality properties of the conventional CR UWB receivers are investigated. Finally, simulation results are presented to compare the performance of the optimal and conventional CR UWB receivers. ©2008 IEEE.
Open Access
Determining F2 layer parameters via optimization using IRI model and IONOLAB TEC estimations
(IEEE, 2011) Şahin, O.; Sezen, U.; Arıkan, F.; Arıkan, Orhan
We know that F2 layer of the ionosphere is most important layer in the progaration of high frequency (HF) waves. In this study, The relation of the height (HmF2) and the critical frequency (FoF2) of F2 layer-among the parameters of the Internation Reference Ionesphere (IRI) model-to the Total Electron Content (TEC) structure of ionosphere is investigated within their defined parametric range. These two parameters are then optimized using IONOLAB TEC estimations. Performance of the optimization algorithm is examined seperately for the cases of processing daily (24-hour) and hourly TEC data. It is observed that using hourly data produce results with much smaller errors. By using this optimization method, the height and the critical frequency of F2 layer are obtained for countries located on low and high latitudes including Turkey for the same quite day. Results are compared with ionosonde data and it is observed that error norms were in an acceptable range. By this way it is attained the more realistic electrical structure of ionosphere.
Open Access
Ionolab grubunun iyonküre uzaktan algılama ve 2-b görüntüleme çalışmaları
(IEEE, 2014-04) Arıkan, F.; Toker, C.; Sezen, U.; Deviren, M. N.; Çilibaş, O.; Arıkan, Orhan
Bu çalışmada, IONOLAB grubunun son 10 yıldır iyonküre uzaktan algılaması ve 2-B görüntüleme çalışmaları özetlenecektir. TÜBİTAK EEEAG 105E171 ve 109E055 projelerinde, çift frekanslı Yerküresel Konumlama Sistemi (YKS) alıcılarının sözde menzil ve faz gecikmesi kayıtlarından özgün Toplam Elektron İçeriği (TEİ) kestirim yöntemi IONOLAB-TEC geliştirilmiştir. Önemli bir Uzay Havası hizmeti olarak www.ionolab.org sitesinden tüm araştırmacılara açılan IONOLAB-TEC, dünyada ilk ve tek gürbüz, güvenilir ve hassas tek istasyon için TEİ kestirimleri yapabilmektedir. Uzayda ve zamanda seyrek YKS-TEİ kestirimlerinin bölgesel ve yerküresel aradeğerlemesi için çalışmalar yapılmış ve Türkiye üzerindeki TUSAGA-Aktif istasyon ağından IONOLAB-TEC yöntemi ile elde edilen Toplam Elektron İçeriği (TEİ) kestirimleri kullanılarak otomatik yüksek çözünürlüklü 2-B TEİ görüntüleri elde edilmiştir. IRI-Plas iyonküre iklimsel modeli altyapısıyla literatürde ilk kez hızlı ve gürbüz elektron yoğunluğu dağılımları elde edilmiş ve iyonküre model parametreleri özgün aradeğerleme ile birleştirilmiştir. www.ionolab.org sitesinde iyonküre kritik frekans ve yükseklik haritaları sunulmaktadır. IONOLAB grubunun bu önemli katkıları TÜBİTAK EEEAG 112E568 projesi kapsamında devam etmektedir.
Open Access
Novel predistortion algorithm for OFDMA
(IEEE, 2009) Ali, S.; Markarian, G.; Arıkan, Erdal
The RF amplifier in a wireless communication system is usually non-linear in nature. If such an amplifier is used in OFDMA based systems, it will cause serious degradation. This degradation will be both in terms of the reduction in BER and the generation of out of band noise. In this paper we have worked on the linearization method of the amplifier. This work is on a hybrid methodology, in which estimation of the model is performed in frequency domain and compensation is performed in time domain. The downlink preamble of the IEEE802.16e system is used here for the estimation purpose. The results for the suppression of spectra are shown at the end.
Open Access
Performance limits on ranging with cognitive radio
(IEEE, 2009-06) Dardari, D.; Karisan, Yasir; Gezici, Sinan; D'Amico, A. A.; Mengali, U.
Cognitive radio is a promising paradigm for efficient utilization of the radio spectrum due to its capability to sense environmental conditions and adapt its communication and localization features. In this paper, the theoretical limits on time-of-arrival estimation for cognitive radio localization systems are derived in the presence of interference. In addition, an optimal spectrum allocation strategy which provides the best ranging accuracy limits is proposed. The strategy accounts for the constraints from the sensed interference level as well as from the regulatory emission mask. Numerical results are presented to illustrate the improvements that can be achieved by the proposed approach. © 2009 IEEE.
Open Access
A recursive way for sparse reconstruction of parametric spaces
(IEEE, 2015-11) Teke, Oğuzhan; Gürbüz, A. C.; Arıkan, Orhan
A novel recursive framework for sparse reconstruction of continuous parameter spaces is proposed by adaptive partitioning and discretization of the parameter space together with expectation maximization type iterations. Any sparse solver or reconstruction technique can be used within the proposed recursive framework. Experimental results show that proposed technique improves the parameter estimation performance of classical sparse solvers while achieving Cramér-Rao lower bound on the tested frequency estimation problem. © 2014 IEEE.
Open Access
Sparsity based off-grid blind sensor calibration
(Elsevier, 2019) Çamlıca, S.; Yetik, I. S.; Arıkan, Orhan
Compressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal has a sparse support restricted on the discretized grid points. This restriction of representing the signal on a discretized grid results in the off-grid problem which causes performance degradation in the reconstruction of signals. Sensor calibration is another issue which can cause performance degradation if not properly addressed. Calibration aims to reduce the disruptive effects of the phase and the gain biases. In this paper, a CS based blind calibration technique is proposed for the reconstruction of multiple off-grid signals. The proposed technique is capable of estimating the off-grid signals and correcting the gain and the phase biases due to insufficient calibration simultaneously. It is applied to off-grid frequency estimation and direction finding applications using blind calibration. Extensive simulation analyses are performed for both applications. Results show that the proposed technique has superior reconstruction performance.
Open Access
Structured least squares problems and robust estimators
(IEEE, 2010-10-22) Pilanci, M.; Arıkan, Orhan; Pinar, M. C.
A novel approach is proposed to provide robust and accurate estimates for linear regression problems when both the measurement vector and the coefficient matrix are structured and subject to errors or uncertainty. A new analytic formulation is developed in terms of the gradient flow of the residual norm to analyze and provide estimates to the regression. The presented analysis enables us to establish theoretical performance guarantees to compare with existing methods and also offers a criterion to choose the regularization parameter autonomously. Theoretical results and simulations in applications such as blind identification, multiple frequency estimation and deconvolution show that the proposed technique outperforms alternative methods in mean-squared error for a significant range of signal-to-noise ratio values.
Open Access
Structured least squares with bounded data uncertainties
(IEEE, 2009) Pilanci, Mert; Arıkan, Orhan; Oguz, B.; Pınar, Mustafa C.
In many signal processing applications the core problem reduces to a linear system of equations. Coefficient matrix uncertainties create a significant challenge in obtaining reliable solutions. In this paper, we present a novel formulation for solving a system of noise contaminated linear equations while preserving the structure of the coefficient matrix. The proposed method has advantages over the known Structured Total Least Squares (STLS) techniques in utilizing additional information about the uncertainties and robustness in ill-posed problems. Numerical comparisons are given to illustrate these advantages in two applications: signal restoration problem with an uncertain model and frequency estimation of multiple sinusoids embedded in white noise.
Open Access
Successive cancelation approach for doppler frequency estimation in pulse doppler radar systems
(IEEE, 2010) Soğancı, Hamza; Gezici, Sinan
In this paper, a successive cancelation approach is proposed to estimate Doppler frequencies of targets in pulse Doppler radar systems. This technique utilizes the Doppler domain waveform structure of the received signal coming from a point target after matched filtering and pulse Doppler processing steps. The proposed technique is an iterative algorithm. In each iteration, a target that minimizes a cost function is found, and the signal coming from that target is subtracted from the total received signal. These steps are repeated until there are no more targets. The global minimum value of the cost function in each iteration is found via particle swarm optimization (PSO). Performance of this technique is compared with the optimal maximum likelihood solution for various signal-to-noise ratio (SNR) values based on Monte Carlo simulations.
Open Access
Theoretical limits on time delay estimation for ultra-wideband cognitive radios
(IEEE, 2008-09) Gezici, Sinan; Celebi, H.; Arslan, H.; Poor, H. V.
In this paper, theoretical limits on time delay estimation are studied for ultra-wideband (UWB) cognitive radio systems. For a generic UWB spectrum with dispersed bands, the Cramer-Rao lower bound (CRLB) is derived for unknown channel coefficients and carrier-frequency offsets (CFOs). Then, the effects of unknown channel coefficients and CFOs are investigated for linearly and non-linearly modulated training signals by obtaining specific CRLB expressions. It is shown that for linear modulations with a constant envelope, the effects of the unknown parameters can be mitigated. Finally, numerical results, which support the theoretical analysis, are presented. © 2008 IEEE.
Open Access
Zaman-frekans dağılımı için çekirdek kestirimi
(IEEE, 2015-05) Deprem, Zeynel; Çetin, A. Enis
Bu dokümanda çözünürlüğü yüksek ve çapraz terim içermeyen Cohen sınıfı bir Zaman-frekans (ZF) dağılımının, çekirdek kestirim yöntemi ile elde edilmesi tanıtılmaktadır. Çekirdek kestirimi, başlangıç taslak bir zaman-frekans dağılımının l1 normuna ait epigraf kümesi üzerine izdüşümü ile elde edilmektedir. Kestirilen çekirdek, sinyalin belirsizlik (Ambiguity) düzlemindeki hizalanması ile uyumlu ve çapraz terimleri içermeyecek bir filtreleme sağlamaktadır.