To solve the problem of the mismatch of the wideband underdetermined direction of arrival (doa) estimation under the condition of the On-grid model, this paper extends the narrowband Off-Grid model to wideband and pro...
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To solve the problem of the mismatch of the wideband underdetermined direction of arrival (doa) estimation under the condition of the On-grid model, this paper extends the narrowband Off-Grid model to wideband and proposes a new doa estimation algorithm for Off-Grid sources based on group sparsity. The proposed algorithm first obtains the preliminary estimation result under the current predefined discrete grid through the group sparsity wideband doa estimation algorithm. Then, the Off-Grid optimisation problem is adopted to calculate the Off-Grid deviation vector. It is also assumed that the off-grid deviation vectors of each frequency subband are exactly the same, thereby reducing the number of parameters to be estimated. Therefore, the proposed algorithm can not only maintain similar or even better estimation accuracy but also greatly reduce the computational complexity. Finally, simulation is conducted and the results verify the effectiveness and performance of the proposed method.
The authors propose a hybrid L-shaped array composed of two sparse scalar arrays and a single triangular spatially-spread electromagnetic-vector-sensor (SS-EMVS) for two-dimensional (2D) direction-of-arrival (doa) est...
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The authors propose a hybrid L-shaped array composed of two sparse scalar arrays and a single triangular spatially-spread electromagnetic-vector-sensor (SS-EMVS) for two-dimensional (2D) direction-of-arrival (doa) estimation. These two sparse but uniform scalar arrays are placed along the x-axis and y-axis, respectively, which constitute two arms of the L-shaped array. These two arms are connected by an SS-EMVS, which consists of a spatially-spread dipole-triad plus a spatially-spread loop-triad. Further, the inter-dipole/loop spacings of SS-EMVS follow a coprime relationship with the inter-sensor spacings of the L-shaped scalar array. In proposed doa estimation algorithm, they first perform the vector-cross-product algorithm to SS-EMVS to obtain a high-accuracy but ambiguous direction cosine estimation;they then apply the ESPRIT algorithm to the scalar array on each arm to get another high-accuracy but cyclically ambiguous direction cosine estimation;finally, they adopt the Chinese Remainder Theorem to disambiguate the ambiguous estimations. Because the authors' proposed array has 2D array aperture extension, it can achieve a high angular estimation performance. Moreover, one component of triangular SS-EMVS rather than an SS-EMVS is used as the array unit of two scalar arrays;thus, the whole array cost decreases dramatically. Simulation results validate the array configuration and the developed algorithm.
Direction-of-arrival (doa) estimation of radio signals is of utmost importance in many commercial and military applications. In this study, the authors propose an efficient field-programmable gate array (FPGA) archite...
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Direction-of-arrival (doa) estimation of radio signals is of utmost importance in many commercial and military applications. In this study, the authors propose an efficient field-programmable gate array (FPGA) architecture for implementing a recently published doa estimation algorithm. This algorithm estimates doas by making use of QR decomposition of the received data matrix of four- and eight-element uniform linear antenna arrays. The hardware implementation has been thoroughly analysed and experimentally validated by building a real-time prototype of the doa estimation algorithm. The experimental results show good agreement between doa estimates obtained by the prototype and true values.
A novel matrix completion algorithm (MC-ESPRIT) for direction finding of nonuniform linear array (NLA) is proposed. By using the matrix completion theory and property of Hankel matrix, the received data matrix of NLA ...
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ISBN:
(纸本)9781450366250
A novel matrix completion algorithm (MC-ESPRIT) for direction finding of nonuniform linear array (NLA) is proposed. By using the matrix completion theory and property of Hankel matrix, the received data matrix of NLA is transformed into double Hankel matrix, which is a treatable one for matrix completion. Then a complete data matrix which is the same as the uniform linear array (ULA) is reconstructed by using the inexact augmented Lagrange multiplier method, and the direction of arrival (doa) is estimated by ESPRIT algorithm. Compared to the NLA-based MUSIC type algorithm, MC-ESPRIT can solve more signals. In addition, compared with the existing virtual interpolation array ESPRIT (VIA-ESPRIT), the algorithm does not need to divide the array's field of view. Simulation results verify the effectiveness of MC-ESPRIT.
With the addition of Bluetooth AOA/AOD direction-finding capabilities in the Bluetooth 5.1 protocol and the introduction of antenna array technology into the Bluetooth platform to further enhance positioning accuracy,...
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With the addition of Bluetooth AOA/AOD direction-finding capabilities in the Bluetooth 5.1 protocol and the introduction of antenna array technology into the Bluetooth platform to further enhance positioning accuracy, Bluetooth has gradually become a research hotspot in the field of indoor positioning due to its standard protocol specifications, rich application ecosystem, and outstanding advantages such as low power consumption and low cost compared to other indoor positioning technologies. However, current indoor positioning based on Bluetooth AOA/AOD suffers from overly simplistic core algorithm implementations. When facing different application scenarios, the standalone AOA or AOD algorithms exhibit weak applicability, and they also encounter challenges such as poor positioning accuracy, insufficient real-time performance, and significant effects of multipath propagation. These existing problems and deficiencies render Bluetooth lacking an efficient implementation solution for indoor positioning. Therefore, this paper proposes a study on Bluetooth AOA and AOD indoor positioning algorithms. Through an analysis of the principles of Bluetooth's newly added direction-finding functionality and combined with research on array signal doa estimation algorithms, the paper ultimately integrates the least squares algorithm to optimize positioning errors in terms of accuracy and incorporates an anti-multipath interference algorithm to address the impacts of multipath effects in different scenarios. Experimental testing demonstrates that the indoor positioning algorithms applicable to Bluetooth AOA and AOD can effectively mitigate accuracy errors and overcome multipath effects, exhibiting strong applicability and significant improvements in real-time performance.
The presence of sensor array errors due to mutual coupling and channel mismatch among array sensors severely degrades the performance of direction-of-arrival (doa) estimationalgorithms. This paper proposes a novel se...
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ISBN:
(纸本)9781479958368
The presence of sensor array errors due to mutual coupling and channel mismatch among array sensors severely degrades the performance of direction-of-arrival (doa) estimationalgorithms. This paper proposes a novel sensor array errors calibration algorithm based on iterative least squares with projection (ILSP) algorithm, which suits for arbitrary array and only needs one auxiliary signal source. This algorithm firstly estimates the true steering vector by using ILSP, then estimates the sensor array errors by solving the equation between the nominal steering vector and the true steering vector. Comparative computer simulation results are presented to illustrate that the proposed algorithm still has lower computational complexity and higher calibration accuracy on the condition of less snapshots and minor doa intervals of different sampling time.
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