Paper
14 October 1998 New signal-selective parameter estimation approach to time-delay estimation
Yan Zhang, Shuxun Wang
Author Affiliations +
Abstract
For the problem of estimating the difference in arrival times of radio waves impinging on two spatially separate antennas for the purpose of passively locating the source of a communications or telemetry signal, a new parameter estimation algorithm that is highly tolerant to interference and noise is proposed. By exploiting the cyclostationarity property of the signal of interest, the new algorithm which models the time delay as a finite impulse response filter removes the effects of additive noise and interfering signals. Then from a set of linear equations involving cyclic (cross) correlation, the time delay can be estimated to be the index of the FIR parameter which has maximum value. The new approach exhibits its signal selectivity regardless of the extent of temporal, spectral, or spatial overlap among received signals, it is only required that the signal of interest has a known (or measurable) analog carrier frequency or digital keying rate that is distinct from those of all interfering signals. Yet the computational complexity of this new approach is comparable to that of conventional methods.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Zhang and Shuxun Wang "New signal-selective parameter estimation approach to time-delay estimation", Proc. SPIE 3462, Radar Processing, Technology, and Applications III, (14 October 1998); https://doi.org/10.1117/12.326752
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Cited by 1 scholarly publication.
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KEYWORDS
Interference (communication)

Receivers

Signal to noise ratio

Monte Carlo methods

Sensors

Telecommunications

Antennas

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