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The cyclic method performs the direction-of-arrival (DOA) estimation of the desired signals by using cyclic correlations of digital-modulation signals. This paper proposes a cyclic method which uses in-phase combining of multiple cyclic correlations (MCC) and the forward and backward spatial smoothing processing (FB-SSP). Also, the way of reducing the computation load in FB-SSP is provided. Computer...
Copy-aided direction finding of co-channel signals with known structure is an effective method of angle estimation applicable to any blind or non-blind frontend signal processing. The frontend processing yields for each emitter a copy weight vector that can be correlated with an angle dependent hypothesized adaptive beamformer to extract direction-of-arrival (DOA). The mean squared error (MSE) performance...
The mean squared error performance of a copy weight correlation (CC) based method of angle estimation proposed by Forsythe and Richmond is studied via application of the method of interval error (MIE). It is demonstrated that at low SNRs the CC method leans heavily on the a priori information embedded in the copy weight, but at high SNRs reverts to the Capon algorithm estimate. This prior information...
A scheme of direction-of-arrival (DoA) estimation is proposed based on 2D-ESPRIT algorithm with multiple combinations of subarrays. The pairs of elevation and azimuth angles are obtained by applying the standard 2D-ESPRIT algorithm to three combinations of two set-of-subarrays in a 7-element hexagonal array. The pairs obtained from one of three combinations are permuted according to the descending...
An array antenna system with an innovative signal processing algorithm "Estimation of signal parameters via rotational invariant technique" (ESPRIT) is used in this paper to estimate the direction of arrival (DOA) for multiple targets. The DOA angles are derived indirectly from the generalized eigenvalues of the auto-correlation and cross-correlation matrices. The estimated autocorrelation...
In this paper, a computationally efficient algorithm to estimate two-dimensional (2-D) direction-of-arrival (DOA) angles of narrowband signals impinging on an L-shape array is proposed. This report was inspired by the work of Tayem and Kwon, who developed a fast algorithm for estimating 2-D DOAs using the propagator method (PM) of the L-shape array (PMLA). Although PMLA is efficient, its performance...
In this paper, we propose a novel DOA estimation technique for broadband signals using a single UWB antenna inspired by the human auditory system. The received spectra of the UWB antenna are incident angle dependent in the x-y, x-z and y-z planes. The estimated DOA is then obtained by evaluating the correlation coefficients of the measured spectra with pre-determined incident angle dependent spectra...
In this paper, we consider the problem of estimating directions-of-arrival (DOAs) of wideband source signals. A new class of focusing matrices is proposed for use in the coherent signal subspace method. The new method does not require any preprocessing for initial values through using the cross correlation transformation (CCT). Numerical results show that when the DOAs fall within more than one group...
We propose a novel approach to the design of focusing matrices which play important role in the coherent methods for wideband direction-of-arrival estimation. We call this `autofocusing' because unlike the conventional methods, our technique constructs the focusing matrices entirely by processing the received signal and does not require any preliminary DOA estimates. In this way, it overcomes the...
This paper presents a fast method for estimating directions of arrival (DOAs) of multiple narrowband noncircular signals (such as AM, ASK, and BPSK signals), which involves neither eigende-composition nor source enumeration. This method also eliminates the need for knowledge of the spatial characteristics of the circular noise and interference, by exploiting merely the conjugate spatial coherence,...
A new approach for spatial direction-of-arrival (DOA) estimation is developed based on the minimum mean-square error (MMSE) framework. Unlike many traditional DOA estimators, the MMSE approach, denoted as Re-Iterative Super-Resolution (RISR), does not employ spatial sample covariance information which may significantly degrade DOA estimation if spatially-separated sources are temporally correlated...
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