Root-MUSIC-based joint TOA and DOA estimation in IR-UWB
The parameters can be estimated via two-dimensional (2D) multiple signal classification (MUSIC) algorithm, in which the two-dimensional spectral peak searching, however, requires much higher computational complexity. Aiming at this, an algorithm of root-MUSIC-based joint TOA and DOA estimation in IR...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.018/ |
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| _version_ | 1841539776708083712 |
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| author | Fang-qiu WANG Xiao-fei ZHANG Fei WANG |
| author_facet | Fang-qiu WANG Xiao-fei ZHANG Fei WANG |
| author_sort | Fang-qiu WANG |
| collection | DOAJ |
| description | The parameters can be estimated via two-dimensional (2D) multiple signal classification (MUSIC) algorithm, in which the two-dimensional spectral peak searching, however, requires much higher computational complexity. Aiming at this, an algorithm of root-MUSIC-based joint TOA and DOA estimation in IR-UWB system was proposed. After mod-eling the received signals in the frequency-domain, the algorithm estimated the TOA parameters first, and then the DOA parameters via the difference of the TOA was obtained, thereby the joint TOA and DOA estimation was gained. This al-gorithm does not need spectral peak searching and can obtain the closed-form solutions of the TOAs and DOAs. More-over, it can get the parameters paired. In addition, the error variances of the estimated parameters were derived. The simulation results show that the proposed algorithm has much better performance than matrix pencil algorithm, propaga-tor method and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, and has almost the same performance as 2D-MUSIC algorithm, while the complexity of the proposed algorithm has far lower than that of 2D-MUSIC algorithm. |
| format | Article |
| id | doaj-art-ed67b292a582432d9204ff6d82ed4887 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ed67b292a582432d9204ff6d82ed48872025-01-14T06:42:46ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-02-013513714559679690Root-MUSIC-based joint TOA and DOA estimation in IR-UWBFang-qiu WANGXiao-fei ZHANGFei WANGThe parameters can be estimated via two-dimensional (2D) multiple signal classification (MUSIC) algorithm, in which the two-dimensional spectral peak searching, however, requires much higher computational complexity. Aiming at this, an algorithm of root-MUSIC-based joint TOA and DOA estimation in IR-UWB system was proposed. After mod-eling the received signals in the frequency-domain, the algorithm estimated the TOA parameters first, and then the DOA parameters via the difference of the TOA was obtained, thereby the joint TOA and DOA estimation was gained. This al-gorithm does not need spectral peak searching and can obtain the closed-form solutions of the TOAs and DOAs. More-over, it can get the parameters paired. In addition, the error variances of the estimated parameters were derived. The simulation results show that the proposed algorithm has much better performance than matrix pencil algorithm, propaga-tor method and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, and has almost the same performance as 2D-MUSIC algorithm, while the complexity of the proposed algorithm has far lower than that of 2D-MUSIC algorithm.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.018/time-of-arrivaldirection-of-arrivalimpulse radio ultra widebandmultiple signal classification |
| spellingShingle | Fang-qiu WANG Xiao-fei ZHANG Fei WANG Root-MUSIC-based joint TOA and DOA estimation in IR-UWB Tongxin xuebao time-of-arrival direction-of-arrival impulse radio ultra wideband multiple signal classification |
| title | Root-MUSIC-based joint TOA and DOA estimation in IR-UWB |
| title_full | Root-MUSIC-based joint TOA and DOA estimation in IR-UWB |
| title_fullStr | Root-MUSIC-based joint TOA and DOA estimation in IR-UWB |
| title_full_unstemmed | Root-MUSIC-based joint TOA and DOA estimation in IR-UWB |
| title_short | Root-MUSIC-based joint TOA and DOA estimation in IR-UWB |
| title_sort | root music based joint toa and doa estimation in ir uwb |
| topic | time-of-arrival direction-of-arrival impulse radio ultra wideband multiple signal classification |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.018/ |
| work_keys_str_mv | AT fangqiuwang rootmusicbasedjointtoaanddoaestimationiniruwb AT xiaofeizhang rootmusicbasedjointtoaanddoaestimationiniruwb AT feiwang rootmusicbasedjointtoaanddoaestimationiniruwb |