An angle difference of directions arrival algorithm with channel inconsistency

Shen, Xiaofeng; Fan, Rong; Wan, Qun; Wu, Yang

doi:10.1080/00207217.2012.712909

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…where the expression of CRLB θ ð Þ can refer to Stoica and Nehorai (1989) and Shen et al, (2012). The performance of the proposed estimator is examined under two scenarios.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Finally, DDOAs can be estimated using the orthogonality between steer vector and noise subspace. The details of the DDOA procedures can refer to Shen et al (2012). Using DDOA algorithm, it can estimate all angle difference of any two DOAs.…”

Section: Problem Solutionmentioning

confidence: 99%

“…It does not require that each channel in the whole array is calibrated perfectly. But the algorithm cannot estimate DOAs with magnitude-only array outputs (Shen, Fan, Wan, & Yang, 2012). As an improvement of Shen et al work, a DOA estimator based on magnitude-only with partly calibrated sensors array is proposed.…”

Section: Introductionmentioning

confidence: 98%

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Direction-of-arrival estimation based on magnitude-only samples with partly calibrated sensors array

Fan

Wan

Wen

et al. 2013

International Journal of Electronics Letters

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This article proposes a direction of arrivals (DOAs) estimator based on magnitude-only samples with partly calibrated sensors array. First, the difference of DOAs (DDOAs) is obtained from magnitude-only array output. Then, the reference DOA is obtained from perfectly calibrated subarray via combination search. After that, DOAs can be estimated by the reference DOA and DDOAs. For partly calibrated sensors array, the proposed DOA estimator is robust to interchannel mismatch in time. Besides, the complexity of channel calibration is unvaried when array aperture increases. Numerical examples illustrate the advantages of the proposed estimator.

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“…where the expression of CRLB θ ð Þ can refer to Stoica and Nehorai (1989) and Shen et al, (2012). The performance of the proposed estimator is examined under two scenarios.…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: Problem Solutionmentioning

confidence: 99%