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This paper studies the estimation of the desired signal received on the array antenna in the correlated wireless communication environment. The direction of arrival signal applies updated weight to the Bartlett method for estimation the desired signals. In this paper, the proposed method applies the optimal weight vector to the output energy of the Bartlett method. Through simulation, we compare proposed...
The unique characteristic of the underwater acoustic communication channel force development of new protocols for underwater acoustic sensor networks. Especially, the pretty slower propagation speed of acoustic signals in underwater should be taken into consideration. This paper constructs a link scheduling model on medium access control (MAC) layer for multihop underwater acoustic sensor networks...
Spectrum sensing is a fundamental component in cognitive radio. A major challenge in this area is the requirement of a high sampling rate in the sensing of a wideband signal. In this paper a wideband spectrum sensing model is presented that utilizes a sub-Nyquist sampling scheme to bring substantial savings in terms of the sampling rate. The correlation matrix of a finite number of noisy samples is...
In this paper, the influence of overlapping of pulse signal sources on their correlation matrix and activity index is studied. The activity index is defined as a Mahalanobis distance of signal observations. Influences of source overlapping on activity index were simulated for a different number of overlapping sources and degrees of their overlapping. The findings lead to an improved model of activity...
Noise suppression by linear filters for a time series is discussed. We propose a method for jointly estimating signal and noise correlation matrices by incorporating steering vectors of the noise or eigenvectors of the noise correlation matrix as well as steering vectors of the target signals. Our estimates bring us two significant advantages. One is reduction of computational cost in obtaining the...
Direction of arrival (DOA) estimation of narrowband wavefronts impinging on an array of sensors has long been of great research interest. In this paper, it is shown that for a uniform linear array (ULA), discrete Fourier transform (DFT) domain-based DOA estimation rely on knowledge of the power spectral density (PSD). We present a novel approach for signal tracking, which updates the signal PSD for...
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