Time delay estimation using a signal subspace model

Therrien, C.W.; Kouteas, Stefanos D.; Smith, Kevin B.

doi:10.1109/acssc.2000.910630

Cited by 2 publications

(1 citation statement)

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“…Except for radar signals, the common linearly modulated wireless communication signals such as DS-CDMA, OFDM, QAM, and others that carry symbols on some periodic pulse shapes, can also be modeled as the signal with a subspace structure in (11) [28,29,30]. The subspace signal structure is mainly related with the channel's path delays τ i,li .…”

Section: Estimating the Tdoa Of Slowly Changing Subspace Signals Usin...mentioning

confidence: 99%

A TDOA Technique with Super-Resolution Based on the Volume Cross-Correlation Function

Shi

Zhang

Wang

2016

IEEE Trans. Signal Process.

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Time Difference of Arrival (TDOA) is widely used in wireless localization systems. Among the enormous approaches of TDOA, high resolution TDOA algorithms have drawn much attention for its ability to resolve closely spaced signal delays in multipath environment. However, the state-of-art high resolution TDOA algorithms still have performance weakness on resolving time delays in a wireless channel with dense multipath effect. In this paper, we propose a novel TDOA algorithm with super resolution based on a multi-dimensional cross-correlation function: the Volume Cross-Correlation Function (VCC). Theoretical analyses are provided to justify the feasibility of The proposed TDOA algorithm, and numerical simulations also show an excellent time resolution capability of the algorithm in multipath environment.

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