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This paper addresses a novel direction-of-arrival (DOA) estimation method for noncircular sources, such as BPSK and OQPSK modulated signals, in the presence of multipath propagation. The group steering vector of each coherent group is obtained first, and then both forward and backward group steering vectors are exploited to estimate the DOAs of the corresponding group by constructing a composite matrix...
In this paper, we modify the classic manifold separation technique (MST), aiming to reduce its dependence on high signal-to-noise ratio (SNR) measuring environment. According to the analysis of the array response, it is demonstrated that to maintain a correct phase relationship between the received data at different calibration angles is indispensable for the application of MST. Thus, we slightly...
Pinhole-array-based hand-held light field cameras can be used to capture 4-dimensional light field data for different applications such as digital refocusing and depth estimation. Our previous experiences suggest the design of the pinhole array mask is very critical to the performance of the camera, and the selection of mask parameters could be very different between applications. In this paper, we...
The paper considers the problem of how to simultaneously estimate the direction-of-arrival (DOA) of a source signal and the phase error of a uniform linear array (ULA). We introduce a new method to estimate those parameters for a partly calibrated ULA. As its name suggests, partly calibrated ULA means a array with some of its sensor elements have been calibrated. In particular, our method can be well...
In this work, the direction finding of coherently distributed (CD) sources using a uniform linear array (ULA) is investigated. Conventional DSPE algorithm for localization of CD sources requires an extensive two-dimensional search of nominal DOAs and angular spreads. The proposed algorithm exploits the propagator, which is a linear operator that can be easily estimated from the received data, to identify...
In this paper we propose a new machine learning concept called randomized machine learning, in which model parameters are assumed random and data are assumed to contain random errors. Distinction of this approach from “classical” machine learning is that optimal estimation deals with the probability density functions of random parameters and the “worst” probability density of random data errors. As...
Phased array radio telescopes allow for the filtering of Radio Frequency Interference (RFI) in the spatial domain. Spatial filters are advantageous in radio astronomy when the separation between RFI and astronomical sources cannot be made in the time or frequency domains. Consequently, the mitigation of the RFI relies on the quality of its spatial signature vector (SSV) estimation. The latter depends...
In this paper, we investigate the direction-of-arrivals (DOAs) estimation of a mixed noncoherent and coherent signals impinging on a uniform linear array (ULA). The DOAs of noncoherent and coherent signals are estimated separately, and a new oblique projector is obtained to isolate the coherent signals from the noncoherent ones. Compared with previous works, the proposed method overcomes the “saturation...
In order to reduce the computational burden of the algorithm for two-sided correlation transformation, this paper proposes a fast algorithm based on the orthogonal propagator. Compared with the two-sided correlation transformation algorithm, the new method uses the propagation operator instead of the eigenvalue decomposition to estimate the feature vector of the noise subspace. There is no need to...
Recently, sparse representation has been widely used in localization and bearing estimation. The basic idea of the general sparse direction-of-arrival (DOA) estimation method is to divide the space into discrete grids. But the transmission signal's DOA doesn't always fall on the discrete network. This paper reformulates the above problem by exploiting the sparsity representation based on the modified...
The method of mutual coupling correction of array output signal is studied in the paper. According to array signal processing's feature, array error model is analyzed and array mutual coupling is studied. The method that smart antennas' channel calibration by BP network in wireless communication is proposed, which improves the accuracy of algorithms, such as the DOA estimation algorithm, Beam Forming...
The increasing spectrum occupancy is a serious threat for highly sensitive astronomical measurement at radio frequencies. The deployment of array radio telescopes allows the exploitation of spatial information regarding sources of radio frequency interference (RFI) in order to filter them out of astronomical data and theoretical recover uncorrupted time and frequency data. This paper introduces the...
The directions of arrival (DOA) of plane waves are estimated from multi-frequency multi-snapshot sensor array data using Sparse Bayesian Learning (SBL). The prior for the source amplitudes is assumed to be independently zero-mean complex Gaussian distributed with hyperparameters being the unknown variances (i.e. the source powers). For a complex Gaussian likelihood with unknown noise variance hyperparameter,...
The paper presents an improved multiple signal classification algorithm based on coherent signals sources to estimate the direction of the arrival coherent signals. In the process of implement the algorithm, data eigen values are first decomposed from the received signal sources, and then using the relationship between the signal subspace corresponding to big eigen value and the signal steering vector...
In this paper,we propose a sparse Baysesian learning (SBL) based approach for the DOA estimation in the presence of coherent sources. First, the difference technique is used to enhance the input SNR. Then, we construct a virtual array manifold to eliminate the cross-term effect between each coherent group, after eigenvalue decomposition (EVD) of the difference covariance matrix, reduce the dimension...
The two-dimensional (2-D) direction-of-arrival (DOA) estimating for non-circular signals in highly real-time situation is addressed. A new algorithm using a single snapshot for 2-D DOA estimating is proposed. Based on the dual parallel uniform linear array (ULA), three equivalent rotationally invariant covariance matrices are constructed using the single snapshot, which are evaluated to generate the...
In this paper, an efficient sparse representation algorithm for direction of arrival (DOA) estimation in a multiple-input multiple-output (MIMO) Radar system is proposed. The proposed method converts the received data into a low-dimensional real-valued one by exploiting the characteristic of MIMO radar system. Then the DOA estimation is realized via the reweighting l1 norm minimization algorithm....
This paper introduces the Array-based Compressed sensing Receiver Architecture (ACRA). ACRA allows digital receiver arrays to operate at dramatically larger instantaneous bandwidths by sampling the signals from different array elements at different sub-Nyquist sampling rates. Signal processing inspired by the sparse fast Fourier transform allows for signal detection, estimation, and angle-of-arrival...
The effect of mutual coupling on the direction-of-arrival (DOA) estimation using sparse arrays of dipole antennas is investigated. The open circuit method is used to model the mutual coupling. DOA estimation performance in the presence of mutual coupling is compared and contrasted for different array configurations, namely, uniform linear arrays, minimum redundancy arrays, nested arrays, and co-prime...
High-speed image sensors, designed for machine vision and control, provide the “eyes” for autonomous and connected vehicle. A noteworthy feature of high-speed image sensors is their ability to be used as a reception device for visible light communication (VLC) signals. Due to the massive number of pixels available and the ability to spatially separate sources, a signal-receiving pixel in the image...
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