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In this paper, we introduce robust versions of the recently introduced Capon- and APES-based magnitude square coherence (MSC) spectral estimators. The estimators exploit the related recent development on robust beamforming to allow for imperfect knowledge of the estimated sample correlation matrix. The resulting estimators are found to yield improved estimates as compared to the earlier estimators.
Speech controlled applications are now becoming more and more practical due to advances in technology. These applications vary from command and control instruments, video conferencing to robotics. However, their performance decreases when the acquired speech signal is corrupted by background noise. Numerous research has been done in the last two decades to improve their performance. The switched Griffiths-Jim...
Given a contraint on the total amount of feedback overhead, we investigate the allocation of feedback bits (i.e. codebook sizes) among users in a limited feedback Zero Forcing Beamforming-based MU-MIMO scheme where users have the opportunity to adapt their codebooks as a function of their own channel statistics. We consider both single-polarized and dual- polarized scenarios. Using upper bounds on...
A model-based detector decides on a change from the normal mode after it adaptively monitors the environment. If the state of the system follows the model that is predicted by the model-based processor, we say that the system is in the normal mode. Since the sensor arrays are used for such processings, the array signal processing concepts are widely used in these systems. Because of continues change...
The Propagator Method (PM) is extended to application in super-resolution time-of-arrival (TOA) estimation for ultra wideband (UWB) system, which need not any eigen- decomposition calculation and reduce the computation load in practical UWB implementation. Then TOA estimation is investigated in the presence of correlated complex fading amplitudes for UWB rays. In the UWB channel models proposed so...
A new adaptive algorithm, called RLMS, which combines the use of recursive least square (RLS) and least mean square (LMS), is proposed for array beam forming. The convergence of the RLMS algorithm is analyzed, in terms of mean square error, in the presence of additive white Gaussian noise. Computer simulation results show that the convergence performance of RLMS is superior to either RLS or LMS operating...
The bandwidth performance of an adaptive two- element array with sensor delay lines (SDLs) attached is studied in terms of the inter-spacing between delay line sensors and the number of delay line sensors added. Compared with adaptive arrays with tapped delay-lines (TDLs) the new SDL structure has a better performance in two aspects: its output SINR drops less as the inter-delay within delay lines...
An adaptive array is used to find the direction to the source of a desired spread-spectrum signal despite the presence of multiple interference signals. Unlike other direction-finding algorithms, the two proposed adaptive-array algorithms require no information about the directions and characteristics of the interference signals to separate the desired signal from the interference signals. The desired-signal...
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