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In this paper, we study the problem of distributed blind equalization in single-input multi-output (SIMO) systems, wherein the channels of networked systems share some similarities. This corresponds to a multi-task optimization problem. To tackle this problem, an adaptive distributed generalized Sato algorithm (d-GSA) using the diffusion cooperation rule is proposed. In the proposed d-GSA, only the...
A phase error calibration algorithm for the uniformly spaced linear hydrophone array using the genetic algorithm is presented. Based on the Toeplitz character of the array covariance matrix, a cost function is constructed for the proposed algorithm. Unlike conventional algorithms, the proposed algorithm can be realized without additional calibrating sources for calibration or the prior knowledge of...
Compressed Sensing (CS) shows that, when signal is sparse or compressible with respect to some basis, only a small number of compressive measurements of original signal can be sufficient for exact (or approximate) recovery. While in some cases, only the mixtures of original sources are available for observation without knowing the priori information of both the source signals and the mixing process...
Modern advanced hardware technology has made possible the implementation of sophisticated algorithms. The Complex Block Least Mean Square (LMS) algorithm has been widely used in adaptive filtering applications. However, the major drawback of this technique is its dependence on the appropriate choice of the step size. This paper presents the Complex Block Conjugate-gradient LMS algorithm with optimal...
Wireless systems frequently employ I/Q modulation techniques to achieve spectral efficiency for high data rate applications. However, the main drawback of I/Q downconversion is the amplitude and phase imbalances between the analog components in the I and Q branches of the receiver. The resulting I/Q mismatch is unavoidable for practical quadrature receivers and can be frequency-dependent in nature...
An improved pattern synthesis algorithm based on optimization theory is proposed. The non-convex problem of array pattern synthesis with a dynamic range constraint in amplitude is converted to two convex formulations for optimization, and the amplitude of the optimal weight is confined to a certain dynamic range. The proposed method provides the optimal tradeoff among the mainlobe pattern, the sidelobe...
The complex block least mean square (LMS) algorithm has been widely used in various adaptive filtering applications. However, the main drawback of the complex block LMS is its slow convergence. In this paper, a novel algorithm called complex block conjugate LMS (CBC-LMS) is presented, which incorporates the conjugate gradient principle into the complex block LMS algorithm. The proposed CBC-LMS employs...
In distributed small satellites, the existence of the baseline error will affect the realization of the three functions: synthetic aperture radar imaging, ground moving target indication and altitude measure. A new 3-D baseline error estimation method for distributed small satellites is proposed in this paper. This method separates the along-track baseline and the cross-track baselines through image...
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