Direct Position Determination with One-Bit Signal for Multiple Targets

Ni, Lihua; Zhang, Di; Xing, Tianyi; Ran, Maoyan; Liu, Ning; Wan, Qun

doi:10.1109/icassp49357.2023.10094664

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Other1

Relationship

Self Cite1

Independent3

Authors

Journals

Cited by 4 publications

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Tensor-Based Subspace Fusion for Direct Position Determination

Ren,

Zheng,

Shi

2024

2024 IEEE/CIC International Conference on Communications in China (ICCC)

View full text Add to dashboard Cite

Tensor-Based Subspace Fusion for Direct Position Determination

Ren,

Zheng,

Shi

2024

2024 IEEE/CIC International Conference on Communications in China (ICCC)

View full text Add to dashboard Cite

Direct-Position-Determination Based on Mixed-Bit Signal in Distributed Radar Systems

Ni,

Zhang,

Liu

et al. 2024

IEEE Commun. Lett.

View full text Add to dashboard Cite

Majorization-Minimization-Based Direct Localization Using One-Bit Channel Measurements

Wang,

Tan,

Lohan

et al. 2024

IEEE Wireless Commun. Lett.

Self Cite

View full text Add to dashboard Cite

Direct localization or direct position determination (DPD) can outperform the more traditional angle and delay estimation based approaches, yet being less used in practice due to the requirement of aggregating raw data or measurements to a single processing point. To reduce the network burden, this paper considers one-bit quantized channel response data, and proposes a majorization-minimization (MM) based one-bit DPD (MO-DPD) algorithm to localize an orthogonal frequency division multiplexing (OFDM) signal source. First, the one-bit DPD is formulated as a maximum likelihood (ML) estimation problem, which is then iteratively solved using the MM approach. The proposed MO-DPD avoids iteratively estimating any nuisance parameters, leading to high computational efficiency. The numerical results show that the MO-DPD outperforms the baseline one-bit ML solver in terms of computational load, while efficiently converging to one-bit Cramér-Rao lower bound (CRLB) over wide range of signal-to-noise ratios (SNRs). Furthermore, we show that no more than three iterations are required to achieve high accuracy.

show abstract

Direct Position Determination with One-Bit Signal for Multiple Targets

Cited by 4 publications

References 19 publications

Tensor-Based Subspace Fusion for Direct Position Determination

Tensor-Based Subspace Fusion for Direct Position Determination

Direct-Position-Determination Based on Mixed-Bit Signal in Distributed Radar Systems

Majorization-Minimization-Based Direct Localization Using One-Bit Channel Measurements

Contact Info

Product

Resources

About