TY - JOUR
T1 - Wideband DOA estimation based on time-domain energy focusing
AU - Jiang, Yuxiang
AU - Shen, Qing
AU - Wu, Kejiang
AU - Zhang, Zexiang
AU - Liao, Chenxi
AU - Xu, Shuyuan
N1 - Publisher Copyright:
Copyright © 2026. Published by Elsevier Inc.
PY - 2026/4/1
Y1 - 2026/4/1
N2 - Wideband DOA estimation has become a significant concern in communication, navigation, and radar systems. Previous approaches employed the frequency-domain focusing method to alleviate the wideband impact, but it was constrained by its reliance on prior DOA knowledge. The time-domain wideband DOA estimation methods have also been explored, but often suffered from high-dimensional complexity. This work introduces a time-domain energy focusing (TDEF) scheme that leverages the known waveform and eliminates the reliance on prior DOA information and reduce the high-dimensional complexity. TDEF consists of multi-channel matched filtering and joint power-peak detection. The former concentrates signal energy in the time domain, while the latter mitigates peak migration induced by the wideband scenario. Through this process, the wideband scenario is transformed into an equivalent narrowband counterpart, enabling the application of narrowband DOA estimation techniques. Using matrix-perturbation analysis, we establish the theoretically asymptotic MSE equivalence between TDEF scheme and frequency-domain focusing. The numerical simulations show that the TDEF-based method achieves asymptotic performance approaching the CRLB without prior DOA information, improved resolution for closely spaced sources with different TOAs, and lower computational complexity, especially compared to time-domian sparsity-recovery methods.
AB - Wideband DOA estimation has become a significant concern in communication, navigation, and radar systems. Previous approaches employed the frequency-domain focusing method to alleviate the wideband impact, but it was constrained by its reliance on prior DOA knowledge. The time-domain wideband DOA estimation methods have also been explored, but often suffered from high-dimensional complexity. This work introduces a time-domain energy focusing (TDEF) scheme that leverages the known waveform and eliminates the reliance on prior DOA information and reduce the high-dimensional complexity. TDEF consists of multi-channel matched filtering and joint power-peak detection. The former concentrates signal energy in the time domain, while the latter mitigates peak migration induced by the wideband scenario. Through this process, the wideband scenario is transformed into an equivalent narrowband counterpart, enabling the application of narrowband DOA estimation techniques. Using matrix-perturbation analysis, we establish the theoretically asymptotic MSE equivalence between TDEF scheme and frequency-domain focusing. The numerical simulations show that the TDEF-based method achieves asymptotic performance approaching the CRLB without prior DOA information, improved resolution for closely spaced sources with different TOAs, and lower computational complexity, especially compared to time-domian sparsity-recovery methods.
KW - Joint power-peak detection
KW - Multi-channel matched filtering
KW - Time-domain energy focusing
KW - Wideband DOA
UR - https://www.scopus.com/pages/publications/105027641191
U2 - 10.1016/j.dsp.2026.105903
DO - 10.1016/j.dsp.2026.105903
M3 - Article
AN - SCOPUS:105027641191
SN - 1051-2004
VL - 173
JO - Digital Signal Processing: A Review Journal
JF - Digital Signal Processing: A Review Journal
M1 - 105903
ER -