Robust state estimation problem is investigated for discrete-time linear space models with uncertain parameters, deterministic control input and d-step delay. Firstly, the original system transformed into a non-time-delay based on method of augmentation. Then robust algorithm proposed sensitivity penalty derivation given. Moreover, compared standard Kalman filter, this has similar iterative for...

The objective of this paper is to develop the theoretical foundation to the pilot-assisted channel estimation using delay-time domain windowing for the coherent detection of OFDM signals. The pilotassisted channel estimation using delay-time domain windowing is jointly used with polynomial interpolation, decision feedback and Wiener filter. A closed-form BER expression is derived. The impacts o...

Orthogonal time frequency space (OTFS) modulation is a 2-dimensional (2D) modulation scheme designed in the delay-Doppler domain, unlike traditional modulation schemes which are designed in the time-frequency domain. Through a series of 2D transformations, OTFS converts a doubly-dispersive channel into an almost non-fading channel in the delay-Doppler domain. In this domain, each symbol in a fr...

In the tele-conference, the speech recognition system is mainly affected by the reverberation and not affected by the noise. The model for receiving signals adopted by most time delay estimation methods are additive noise model, which are not suitable for the system. Thus this paper illustrates one HB weight time delay estimation method in the reverberation environment based on onset signals. T...

This paper deals with direction of sound wave arrival determination using time-delay estimation and beamforming methods with utilization of static microphone array with fixed geometry configuration. Theoretical part describes main principle of both methods and possibility of program implementation. Experimental part proposes hardware design of the sensory systems separately for time-delay estim...

This paper investigates delay-dependent robust asymptotic state estimation of fuzzy neural networks with mixed interval time-varying delay. In this paper, the Takagi–Sugeno (T–S) fuzzy model representation is extended to the robust state estimation of Hopfield neural networks with mixed interval time-varying delays. The main purpose is to estimate the neuron states, through available output mea...

Abstract This paper investigates the duality between the estimation and linear quadratic tracking problem for time-delay systems. Based on the innovation analysis approach, the linear minimum mean square error estimators including filter and smoother are developed in terms of a forward partial difference Riccati equation. Then the linear quadratic tracking problem for time-delay systems is disc...

An unbiased impulse response estimation approach is applied to time delay estimation between noisy signals received at two spatially separated sensors. The estimated delay is modeled by an adaptive "nite impulse response "lter whose coe,cients are updated according to a modi"ed least mean square (LMS) scheme. Simulation results show that the proposed algorithm outperforms the conventional LMS t...