Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array
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 est...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/23/6797 |
| _version_ | 1797546394105413632 |
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| author | Tae-yun Kim Suk-seung Hwang |
| author_facet | Tae-yun Kim Suk-seung Hwang |
| author_sort | Tae-yun Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T14:29:08Z |
| format | Article |
| id | doaj.art-618fae065eb54a71ae92f1277de989d2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T14:29:08Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-618fae065eb54a71ae92f1277de989d22023-11-20T22:42:13ZengMDPI AGSensors1424-82202020-11-012023679710.3390/s20236797Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna ArrayTae-yun Kim0Suk-seung Hwang1Department of Electronic Engineering, Chosun University, Gwangju 61452, KoreaSchool of Electronic Engineering, Chosun University, Gwangju 61452, KoreaThe 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.https://www.mdpi.com/1424-8220/20/23/6797Angle-of-Arrival (AOA)cascade estimationCAPONBeamspace MUSICflexible massive antenna |
| spellingShingle | Tae-yun Kim Suk-seung Hwang Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array Sensors Angle-of-Arrival (AOA) cascade estimation CAPON Beamspace MUSIC flexible massive antenna |
| title | Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array |
| title_full | Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array |
| title_fullStr | Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array |
| title_full_unstemmed | Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array |
| title_short | Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array |
| title_sort | cascade aoa estimation algorithm based on flexible massive antenna array |
| topic | Angle-of-Arrival (AOA) cascade estimation CAPON Beamspace MUSIC flexible massive antenna |
| url | https://www.mdpi.com/1424-8220/20/23/6797 |
| work_keys_str_mv | AT taeyunkim cascadeaoaestimationalgorithmbasedonflexiblemassiveantennaarray AT sukseunghwang cascadeaoaestimationalgorithmbasedonflexiblemassiveantennaarray |