Reduced-dimensional MUSIC Algorithm for Joint Angle and Delay Estimation based on L2 Norm Constraint in Multipath Environment
- 10.2991/eia-17.2017.29How to use a DOI?
- joint angle and delay estimation (JADE); l2 norm constraint; orthogonal frequency division multiplexing (OFDM); root finding
In this paper, an l2 norm constraint-based reduced-dimensional MUSIC (l2CRD-MUSIC) algorithm for joint angle and delay estimation (JADE) with automatic pair matching in multipath environment is proposed. By utilizing the l2 norm constraint on the steering vector, the quadratic optimization problem in JADE is decomposed into a one-dimensional (1D) search problem. Thus, angles can be first estimated by a 1D search. For each estimated angle, the matching delay is estimated by the root finding technique. The proposed algorithm has lower computational complexity than the 2D-MUSIC method, but achieves comparable performance with the 2D-MUSIC method. Furthermore, the estimated angles and delays are automatically paired together. Simulation results are presented to verify the effectiveness of the proposed algorithm.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Likai GUO AU - Ying WU AU - Ruirui LIU PY - 2017/07 DA - 2017/07 TI - Reduced-dimensional MUSIC Algorithm for Joint Angle and Delay Estimation based on L2 Norm Constraint in Multipath Environment BT - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017) PB - Atlantis Press SP - 138 EP - 142 SN - 1951-6851 UR - https://doi.org/10.2991/eia-17.2017.29 DO - 10.2991/eia-17.2017.29 ID - GUO2017/07 ER -