Robust Weighted Subspace Fitting for DOA Estimation via Block Sparse Recovery

Meng, Dandan; Wang, Xianpeng; Huang, Mengxing; Wan, Liangtian; Zhang, Bin

doi:10.1109/lcomm.2019.2958913

Cited by 54 publications

(33 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…erefore, the probe can accurately measure the values of oil, gas, and water in wellbore [39]. For all probes, normalization is made so that each probe has the same measurement value for the same phase.…”

Section: The Realization Of the Measuring Instrumentmentioning

confidence: 99%

Design and Implementation of the Array Logging Tool on Horizontal Production Logging

Song

Chen

Zhang

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The measuring instruments have some errors in the measurement of high water cut production wells, and many domestic oil fields are also in high water cut state. The measured data from the conventional production logging instrument are all almost inaccurate. This project has designed a staggered probe array flow meter well logging apparatus based on the characteristic of electromagnetic wave specific retention meter that can fully cover the wellbore fluid and improve flow measurement accuracy. According to the application in horizontal wells, the accuracy of this measuring instrument now has been proved to be more than 90% and can meet the requirements of production logging interpretation in horizontal wells.

show abstract

Section: The Realization Of the Measuring Instrumentmentioning

confidence: 99%

Design and Implementation of the Array Logging Tool on Horizontal Production Logging

Song

Chen

Zhang

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…However, both the l 1 -SVD and the BPDN methods have to choose an appropriate regularization parameter to balance the noise level and sparsity of the signal sources, which is a difficult problem in practice. Several improved sparsity-inducing methods have been proposed to achieve better estimation performance by exploiting the group sparsity that signals at different targets from different directions share the same spectrum [15], [16]. The off-grid version of the sparse Bayesian learning based relevance vector machine (SBLRVM) algorithm [17] and the off-grid sparse Bayesian learning algorithm based on Taylor series expansion (OGSBL-T) [18] have been proposed to achieve accurate DOA estimation in scenarios where the actual signal DOAs are not exactly aligned with the angular grids.…”

Section: Introductionmentioning

confidence: 99%

Robust Wideband DOA Estimation Based on Element-Space Data Reconstruction in a Multi-Source Environment

Zhu

Fang

et al. 2021

IEEE Access

View full text Add to dashboard Cite

In the presence of multiple sources, the performance of direction-of-arrival (DOA) estimation based on beam power maximization is susceptible to the energy leaking from the interference beams to the target beam, especially in the case that the signal of interest (SOI) is quite weak. To address this issue, a robust wideband DOA estimation method is proposed in this paper. Unlike those conventional high-resolution methods which mitigate the influence of energy leakage by reducing beamwidths and sidelobe levels, the proposed method achieves this by directly reconstructing the element-space data to approach the received hydrophone data of the single-source scenario containing only the SOI. Elementspace data reconstruction (ESDR) for the SOI is achieved by removing the element-space waveforms of all the interference signals from the received hydrophone data. Moreover, an iterative algorithm is developed to adaptively extract the element-space waveform of each interference signal, without requiring the prior information of the array amplitude response coefficients and hydrophone coordinates of a distorted towed array. Simulation results show that the proposed method outperforms its counterparts in terms of estimation accuracy for a multi-source scenario. Meanwhile, the DOA estimation performance of the proposed method in a multi-source environment is close to that obtained by the beam power maximization method in the single-source scenario, even if the signal-to-interference ratio (SIR) is as low as-25 dB. At-sea experimental results prove that, even though the number of signal sources is as many as seven and the SOI is contaminated by real ocean ambient noise, the proposed method still achieves a better DOA estimation performance compared to existing state-of-the-art methods. INDEX TERMS Distorted towed array, element-space waveform estimation, energy leakage, multi-source environment, wideband direction-of-arrival (DOA) estimation.

show abstract

“…At the same time, its wide and narrow gaze observation method can relax the standard for the dunamic range of the radar system, extend improve the observation time and the speed resolution of the target, thereby helping to store target energy and suppress clutter [16]. Currently, there are many angle estimation methods based on subspace [27]- [29]. One is to estimate signal parameters through the rotation invariance technique (ESPRIT) method in [30], and the other is the multiple signal classification (MUSIC) method in [31]- [33].…”

Section: Introductionmentioning

confidence: 99%

Vehicle Location in Edge Computing Enabling IoTs Based on Bistatic FDA-MIMO Radar

Wang

et al. 2021

IEEE Access

Self Cite

View full text Add to dashboard Cite

Edge computing has a wide range of applications in the Internet of Things (IoT), especially suitable for low latency, high bandwidth, and high reliability. Edge computing enabling IoT can locate the vehicles rapidly with the help of edge computing. The sensors of IoTs can construct the Frequency diverse array (FDA) radar system, which has been widely concerned by scholars in recent years. The monostatic FDA and multiple-input-multiple-output (FDA-MIMO) is a research hotspot in parameter estimation field, but the research based on bistatic FDA-MIMO radar is insufficient. In this paper, we propose a tensorbased target location method in bistatic FDA-MIMO radar, which implements joint direction of arrival (DOA), direction of departure (DOD) and range parameters estimation. First of all, subarrays with different transmission frequency increment are used to construct the transmitting array to overcome the coupling between DOD and range. Then the tensor-based third-order signal model is established, which saves the multidimensional structure characteristics of received signal. And the signal subspace of each subarray is estimated by high-order-singular value decomposition (HOSVD). Furthermore, the phase period ambiguity is eliminated by limiting the range of the target, and the method for DOA, DOD and range parameters matching is provided. Theoretical analysis and numerical simulations demonstrate the effectiveness and superiority of the proposed method.

show abstract

Robust Weighted Subspace Fitting for DOA Estimation via Block Sparse Recovery

Cited by 54 publications

References 23 publications

Design and Implementation of the Array Logging Tool on Horizontal Production Logging

Design and Implementation of the Array Logging Tool on Horizontal Production Logging

Robust Wideband DOA Estimation Based on Element-Space Data Reconstruction in a Multi-Source Environment

Vehicle Location in Edge Computing Enabling IoTs Based on Bistatic FDA-MIMO Radar

Contact Info

Product

Resources

About