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When noise is directional instead of diffuse, the majority of conventional direction of arrival (DOA) estimation techniques suffer from performance degradation because of mismatched noise models. In this paper, a novel robust DOA estimation algorithm is developed as an initial investigation into DOA estimation of speech under directional non-speech interference (DNSI) and non-directional background...
As a new emerging technology for wireless communications, massive multiple-input multiple-output (MIMO) faces a significant challenge to deploy a separate receiver chain of front-end circuits in a dense circuit board. In this paper, we apply the compressive sensing technique to reduce the required number of front-end circuits and the overall computational complexity. Unlike the commonly adopted random...
In this paper, a new method for two-dimensional (2-D) direction-of-arrival (DOA) estimation is proposed. We first reconstruct the covariance matrix of the coarray with block-Toeplitz structure and then retrieve the DOAs. Our method is computationally efficient as supported by the derived closed-form expression for the estimated covariance matrix. Unlike other methods, which require fully loaded arrays,...
This paper presents an efficient optimization technique for super-resolution two-dimensional (2D) direction of arrival (DOA) estimation by introducing a new formulation of atomic norm minimization (ANM). ANM allows gridless angle estimation for correlated sources even when the number of snapshots is far less than the antenna size, yet it incurs huge computational cost in 2D processing. This paper...
We investigate the problem of direction of arrival (DOA) estimation using sparse linear arrays, such as co-prime and nested arrays, in the case of missing data resulting from sensor failures. We introduce a signal model where sensor failures occur after taking certain number of snapshots. We formulate a structured covariance estimation problem by exploiting the special geometry of sparse linear arrays,...
Parameter estimation has applications in many fields of signal processing, such as spectral analysis or direction-of-arrival estimation. Subspace-based methods like root-MUSIC and ESPRIT provide high parameter resolution at low computational complexity by exploiting specific sampling structure, namely uniform linear sampling and shift-invariant sampling, respectively. On the other hand, compressed...
The active intensity vector (AIV) is a common descriptor of the sound field. In microphone array processing, AIV is commonly approximated with beamforming operations and utilized as a direction of arrival (DOA) estimator. However, in its original form, it provides inaccurate estimates in sound field conditions where coherent sound sources are simultaneously active. In this work we utilize a higher...
A novel processing algorithm for multiple elevation beam (MEB) synthetic aperture radar (SAR) systems is presented. MEB SAR is a promising technique to reduce the onboard data amount, and its key processing procedure is subpulse separation which is affected by the topography. In this paper, the echoes received by multiple elevation channels (MEC) are regarded as signals coming from different direction-of-arrive...
It is known that accurate partition of subspaces is important to fourth-order statistics based multiple signal classification (FO-MUSIC) algorithm. However, when the number of signals exceeds the number of array elements, the error of conventional subspace partition method will increase, and the performance of FO-MUSIC algorithm will decrease. A novel subspace partition method for FO-MUSIC algorithm...
This paper proposes a new algorithm for estimating the relative attitude between two unmanned aerial vehicles based on multiple-input multiple-output radio frequency transmissions between the two aircraft. The method is able to estimate all three Euler angles required to describe the relative attitude, in contrast to prior methods that place severe limits on what can be estimated. Initial simulations...
In order to sort frequency hopping networks, the problem of estimating Direction of Arrival (dOA) of frequency hopping signals in underdetermined case is discussed in this paper. Inspired by the underdetermined blind source separation algorithm and product of hopping frequency and DOA in frequency hopping signals mixing matrix, a novel underdetermined DOA estimation method is proposed. Firstly, mixing...
In this paper, a new algorithm to suppress the interferences for Direction-of-Arrival(DOA) estimation is presented. The method is based on the property of the noise subspace invariant to power of emitters. With theoretical analysis and computer simulations, it is shown that the proposed method has a good performance on signal DOA estimation under disturbances.
In previous studies, it has been proven that by applying the co-array concept, we can detect the Direction of Arrival (DoA) of more sources with less antenna elements. This paper investigates two parameters that have a crucial influence on the co-arrays' DoA estimation performance in practical tests: near field conditions and a multipath environment.
An approach for direction-of-arrival estimation is presented that relies on a multibeam antenna. The antenna provides a pre-defined set of radiation patterns with distinct main directions. The approach considers only magnitudes of a received signal after its decomposition by means of a beam-forming network. Its application to measured signals obtained from an experimental setup is discussed, revealing...
Estimating the direction of arrivai (DoA) of an audio signal from an aerial platform gives way to estimating the localization of the source. This paper addresses the problem of airborne shooter localization using an array of microphones mounted on a drone. In such a scenario, noise from the propellers poses a great challenge in estimating the DoA of gunshot signals. This, combined with the fact that...
In this article, we introduce a direction-of-arrival (DOA) estimation by combining a Lüneburg lens and a frequency tunable metamaterial absorber. The Lüneburg lens is used to physically separate the multiple incident waves with different DOAs and focus them into the different focal points near the lens surface. The metamaterial absorber is set on the focal plane as a sensor array. Therefore, the DOA...
In estimating DOA of incident waves with high accuracy, we often have to take into consideration the angular spread (AS) of each wave due to reflection, diffraction, and scattering. As a method of estimating DOA and AS simultaneously, DOA-Matrix method was proposed. In this paper, we extend the array configuration from the linear array to the planar array for simultaneous estimation of DOA and AS...
This paper presents a novel array configuration which improves the accuracy for high-resolution direction of arrival (DOA) estimation using the concept of Khatri-Rao (KR) product. We extended the concept of two-level nested array and found a novel array configuration which has larger array aperture and more degree of freedom compared with that of the two-level nested array. The performance of the...
SAR Tomography processing by using multiple SAR images can create a 3-D image including the height distribution of scatterers. The height estimation can be realized assuming that the multi-baseline observation data as an array data in the DOA (direction of arrival) estimation methods. Orbit error in observation might cause DOA/height errors in imaging results; therefore, calibration of orbits or equivalent...
The high-resolution DOA estimation with an array antenna is utilized as an important technique for source localization in mobile communication or radio monitoring. This paper deals with MUSIC with circular array which can perform DOA estimation in all directions of azimuth. Uniform circular array (UCA) and minimum redundancy circular array (MRCA) are compared in DOA estimation and the effectiveness...
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