High-speed DOA estimation using beamspace MUSIC

Odachi, N.; Saito, Hiroki; Suzuki, Yôiti

doi:10.1109/vetecs.2000.851285

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…Although the estimation performance of the adjacent signal AOAs is enhanced as the number of antenna elements is increased, the computational complexity of estimation processing is dramatically increased [37]. Therefore, a technique for minimizing performance degradation and reducing the dimension of an antenna array with large number of elements is required to ensure high estimation performance of adjacent signal AOAs.…”

Section: Beamspace Music For Estimating Signal Aoa Based On Entire Anmentioning

confidence: 99%

Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array

Kim

Hwang

2020

Sensors

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The Angle-of-Arrival (AOA) has a variety of applications in civilian and military wireless communication fields. Due to the rapid development of the location-based service (LBS) industry, the importance of the AOA estimation technique has increased. Although a large antenna array is necessary to estimate accurate AOA information of many signals, the computational complexity of conventional AOA estimation algorithms, such as Multiple Signal Classification (MUSIC), is dramatically increased. In this paper, we propose a cascade AOA estimation algorithm employing CAPON and Beamspace MUSIC, based on a flexible (on/off) antenna array. First, this approach roughly finds AOA groups, including several signal AOAs using CAPON, by applying some of the antenna elements. Then, it estimates each signal AOA in the estimated AOA groups using Beamspace MUSIC by applying the full size of the antenna array. In addition to extremely low computational complexity, the proposed algorithm also has similar estimation performance to that of MUSIC. In particular, the proposed cascade AOA estimation algorithm is highly efficient when employing a massive antenna array. Representative computer simulation examples are provided to illustrate the AOA estimation performance of the proposed technique.

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Section: Beamspace Music For Estimating Signal Aoa Based On Entire Anmentioning

confidence: 99%

Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array

Kim

Hwang

2020

Sensors

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Spatial evolutionary spectrum and beamspace MUSIC for high-speed DOA estimation

Chen

2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914)

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In this paper, we combine the concepts of evolutionary spectrum and array processing and sent a high-speed method to estimate the direction-of-arrival (DOA) of nonstationary signals with the theories of cross-power evolutionary periodogram (CEP) and beamforming. The proposed method implements three-step DOA estimation. First, we estimate the cross-power evolutionary of the sensor array using the minimizing mean-squared error. Second, estimate the DOA using the beamspace MUSIC method roughly. And last, accurately estimate the DOA with the result of coarse estimation.

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