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We consider the problem of enabling robust range estimation of eigenvalue decomposition (EVD) algorithm for a reliable fixed-point design. The simplicity of fixed-point circuitry has always been so tempting to implement EVD algorithms in fixed-point arithmetic. Working towards an effective fixed-point design, integer bit-width allocation is a significant step which has a crucial impact on accuracy...
Multichannel speech enhancement systems are capable of extracting desired signals from noisy microphone signals. Optimal spatial filters used for source extraction often require knowledge of the relative transfer functions (RTFs) which describe the coupling among the microphone signals as a response to a signal originating from the location of the desired source. The performance of the speech enhancement...
In this paper, two methods are showed to identify the seismic source using an array signal processing technique. One method is applicable when there are multiple sources, and it identifies the directions of the sources, and the other one estimates the distance and angular position of a single seismic source. Both the methods uses MUltiple SIgnal Classifier (MUSIC) for array signal processing. In case...
A new algorithm for jointly estimating the frequency, two-dimensional (2-D) direction of arrival (DOA) and range of near field sources is proposed. The proposed approach requires only four cumulant matrixes and two eigenvalue decomposition to estimate the four parameters and does not require searching for spectral peak or pairing among parameters. The proposed algorithm can be applied in arbitrary...
When doing parameter estimation, ESPRIT is an often used algorithm. As input, ESPRIT needs the eigenvectors of the signal subspace. These can be generated by an eigenvalue decomposition or by subspace tracking algorithms. In this paper, we demonstrate, that subspace tracking is superior not only regarding computational complexity but also regarding accuracy, which is due to its temporal updating character...
The low-rank structure reverberation suppression algorithm is a better method to restrain the sea interface reverberation. But the data processing speed of the method is very slowly due to the complexity of singular value decomposition. It can not meet the real-time requirement in actual application. This article present a signal subspace fast approximation method based on unitary transformation which...
Based on the difference between ideal electromagnetic vectors and misorientation electromagnetic vectors, a novel estimation method using two reference signals with unknown parameters is presented. When electromagnetic vector sensor array misorientates, the vector sensor deviates from its normal orientation and error is caused. Subspace algorithm based on eigenvalue decomposition is very sensitive...
Most of the array signal processing methods for the estimation of the direction of arrival angle estimation (DOA) for multiple incident sources are based on the far-field assumption. When the sources are located close to the antenna array, these methods are no longer valid. In this paper, a new method is presented for the joint range and DOA estimation for multiple near-field sources. The proposed...
The paper describes that for a uniform linear array (ULA), discrete Time Fourier transform (DTFT) based direction of arrival (DOA) estimation relies on knowledge of the power spectral density (PSD). Discrete Fourier transform (DFT) with zero padding follows DTFT algorithm, which finally reaches resolution of space frequency. We present a novel approach for signal tracking, which updates the signal...
In this paper, an efficient signal-perturbation-free semi-blind approach is proposed for flat-fading channel estimation of multiple-input multiple-output (MIMO) systems with maximum ratio transmission (MRT). A novel transmit scheme is developed based on the eigenvalue decomposition of the correlation matrix of the transmitted signal. The new scheme is to send a small volume of data bearing the information...
In this paper, the problem of estimating the direction of arrival (DOA) in impulsive noise environments is considered. One possible way to model the impulsive noise is to introduce symmetric ??-stable (S??S) distribution. Robust co variation based MUSIC (ROC-MUSIC) and Fractional lower moment based MUSIC (FLOM-MUSIC) can be used to estimate the DOA under these conditions. But those methods require...
The major shortcomings of the MUSIC algorithm for direction-of arrival (DOA) are that it performs poorly when the sources are highly and when the noise is unknown. A method was proposed to estimate DOA for coherent, noncoherent, and mixed narrowband signals under an unknown spatially noise environment, in this method, the forward-backward spatial smoothing algorithm was employed to decorrelate highly...
OFDM modulation combines advantages of high achievable data rates and relatively easy implementation. However, for proper recovery of input, the OFDM receiver needs accurate channel information. Most algorithms proposed in literature perform channel estimation in time domain which increases computational complexity in multi-access situations where the user is only interested in part of the spectrum...
Carrier Frequency Offset (CFO) is one of the major drawbacks of the Multi Carrier Modulation (MCM) technique. Blind, semiblind and data-aided techniques have been introduced to estimate the CFO. In this paper, a new blind CFO estimator based on the Matrix Pencil (MP) method is proposed. A closed-form solution of this generalized eigenvalue problem using the MP method is solved by Rank Revealing QR...
A source number estimation using eigenspace is presented. It projects estimated covariance matrix of array signal into signal eigen subspace and noise eigen subspace respectively. Using the orthogonality between signal eigen subspace and noise eigen subspace, it is easy to differentiate the contribution of signal and noise by using the criterion value, which is the magnitude of projection. Like the...
In this paper, we proposed a closed form solution for blind orthogonal frequency division multiplexing (OFDM) carrier frequency offset (CFO) estimation employing the rank- revealing QR triangular factorization method (RRQR). The advantage of using the RRQR it gives precious information about numerical rank and efficiently separates the signal space from the noise space. Furthermore, the RRQR does...
The rank-revealing QR factorization (RRQR) is a valuable tool in numerical linear algebra because it provides accurate information about rank and numerical null-space. In this paper, we addressed the problem of estimating the time delay and the frequencies of noisy sinusoidal signals received at two spatially separated sensors using the well known RRQR, subspace decomposition technique. Although eigenvalue...
Orthogonal frequency division multiplexing (OFDM) is a promising technique to handle impairments of multipath channel. Alternatively, one of its major drawbacks is the drift in reference carrier, which is known as carrier frequency offset (CFO). Hence, the CFO should be estimated and compensated with a sufficient accuracy. In this paper, a new algorithm for blind CFO-OFDM estimation is obtained by...
ESPRIT is a high-resolution parameter estimation techniques based on the translational invariance structure of a sensor array, which has recently been applied to the problem of determining the directions and center frequencies of a number of narrowband sources in a band of interest. Here, we present a simple and efficient method for the joint angle-frequency estimation (JAFE), named as unitary-JAFE...
High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this paper, we consider the joint angle and frequency estimation (JAFE) problem. We define a novel space-time matrix which includes the information of incident angles and frequencies. The joint angle and frequency estimation method used the defined space-time matrix is named...
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