A noise-constrained distributed adaptive direct position determination algorithm

作者：Xia, Wei^*; Xia, Xinglong; Li, Hongbin; Liu, Wei; Hu, Jinfeng; He, Zishu

来源：Signal Processing, 2017, 135: 9-16.

DOI：10.1016/j.sigpro.2016.12.028

• Emitter localization
• Adaptive direct position determination
• Variable step-size
• Noise constraint

In this work, we consider distributed localization of an emitter using a wireless senor network, where each sensor can, respectively, receive the signal transmitted by the emitter, estimate the noise variance and share information with its neighbors. We propose herein a noise-constrained distributed adaptive direct position determination (NCD-ADPD) algorithm by exploiting the a priori knowledge of the noise variance. The NCD-ADPD algorithm turns out to be a variable step-size extension of the recently proposed distributed adaptive direct position determination (D-ADPD) algorithm. Compared with its predecessor, the NCD-ADPD algorithm is endowed with markedly improved localization performance, which is validated by simulation results, at the cost of a slight increase of computational complexity.

• 出版日期2017-6
• 单位电子科技大学