Multi Detector Fusion of Dynamic TOA Estimation using Kalman Filter

In this paper, we propose fusion of dynamic TOA (time of arrival) from multiple non-coherent detectors like energy detectors operating at sub-Nyquist rate through Kalman filtering. We also show that by using multiple of these energy detectors, we can achieve the performance of a digital matched filter implementation in the AWGN (additive white Gaussian noise) setting. We derive analytical expression for number of energy detectors needed to achieve the matched filter performance. We demonstrate in simulation the validity of our analytical approach. Results indicate that number of energy detectors needed will be high at low SNRs and converge to a constant number as the SNR increases. We also study the performance of the strategy proposed using IEEE 802.15.4a CM1 channel model and show in simulation that two sub-Nyquist detectors are sufficient to match the performance of digital matched filter

IR-UWB Detection and Fusion Strategies using Multiple Detector Types

Optimal detection of ultra wideband (UWB) pulses in a UWB transceiver employing multiple detector types is proposed and analyzed in this paper. We propose several fusion techniques for fusing decisions made by individual IR-UWB detectors. We assess the performance of these fusion techniques for commonly used detector types like matched filter, energy detector and amplitude detector. In order to perform this, we derive the detection performance equation for each of the detectors in terms of false alarm rate, shape of the pulse and number of UWB pulses used in the detection and apply these in the fusion algorithms. We show that the performance can be improved approximately by 4 dB in terms of signal to noise ratio (SNR) for perfect detectability of a UWB signal in a practical scenario by fusing the decisions from individual detectors.Comment: Accepted for publishing in IEEE WCNC 201

Multistatic Sensing of Passive Targets Using 6G Cellular Infrastructure

Sensing using cellular infrastructure may be one of the defining feature of sixth generation (6G) wireless systems. Wideband 6G communication channels operating at higher frequency bands (upper mmWave bands) are better modeled using clustered geometric channel models. In this paper, we propose methods for detection of passive targets and estimating their position using communication deployment without any assistance from the target. A novel AI architecture called CsiSenseNet is developed for this purpose. We analyze the resolution, coverage and position uncertainty for practical indoor deployments. Using the proposed method, we show that human sized target can be sensed with high accuracy and sub-meter positioning errors in a practical indoor deployment scenario.Comment: To appear in IEEE EuCNC 202

The Rules of Competition Within the European Common Market

Ultra wideband (UWB) radio for communication has several challenges. From the physical layer perspective, asignaling technique should be optimally designed to work in synergy with the underneath hardware to achievemaximum performance. In this paper, we propose a variant of pulse position modulation (PPM) for physical layersignaling, which can achieve raw bitrate in excess of 150 Mbps on a low complexity in-house developed impulseradio UWB platform. The signaling system is optimized to maximize bitrate under practical constraints of lowcomplexity hardware and regulatory bodies. We propose a detector and derive its theoretical performance boundsand compare the performance in simulation in terms of symbol error rates (SER). Modifications to the signaling, whichcan increase the range by 4 times with a slight increase in hardware complexity, is proposed. Detectors for thismodification and a comparative study of the performance of the proposed UWB physical layer signaling schemes interms of symbol error rates are discussed.QC 20141023</p

Морфонологічні параметри суфіксів віддієслівного словотворення в українській мові

(uk) У статті розглянуто зв’язок морфонології з фонологією, морфологією, морфемікою, запропоновано огляд морфонологічних засобів словотворення української мови, тобто всього корпусу морфонологічних явищ, актуальних для його сучасного стану, з’ясовано морфонологічні параметри суфіксів віддієслівних похідних. Розглянуто морфонологічно релевантні особливості іменникових, прикметникових та дієслівних суфіксів в українській мові. Установлено, що фінальні елементи дієслівної основи, які зазнають змін під впливом ініціалі форманта, сигналізують про можливі морфонологічні операції (усічення, консонантні, вокалічні альтернації, нарощення суфіксальної чи кореневої морфем, модифікації наголосу) у віддієслівному похідному.(en) The article reveals the connection of morphonology with phonology, morphology and morphemics, it offers the overview of morphonological means of word-building in the Ukrainian language; it means the overview of the whole corpus of morphonological phenomena that are actual at its modern level. The article also establishes morphonological characteristics of suffixes of verbal derivatives in the Ukrainian language. It examines the morphonologically relevant features of noun, adjective and verb suffixes. It was established that the final elements of the verbal stem, which are changing under the influence of formant initials, signals of possible morphonological operations (reduction, consonant and vocal alternations, lengthening of suffix or root morphemes, accent modification) in verbal derivatives

Деякі аспекти процесу соціалізації старшокласників у загальноосвітній школі

(uk) У статті уточнюється структура процесу соціалізації; описуються рівні соціалізації старшокласників, їх змістовні характеристики; виділяються основні компоненти в структурі соціалізації.(ru) В статье уточняется структура процесса социализации; описываются уровни социализации старшеклассников, их содержательные характеристики; выделяются основные компоненты в структуре социализации

Federal Use of State Institutions in the Administration of Criminal Justice

In typical audio encoders the block decision is done either using time-domain techniques like energy computation or frequency domain techniques like temporal noise shaping (TNS) [1], [2]. The time-domain energy computation based decisions are less effective for detecting many of the stringent scenarios presented by test cases like castanets and fatboy. The frequency domain based algorithms have better decision making capabilities, however they are inherently complex as they require the computation of the FFT, additionally in case of TNS the computation of LPC (Linear Prediction coding) in the frequency domain. An improved time-domain technique with better block decision capability compared to TNS and with lesser computational complexity is proposed in this paper.QC 20130610</p