Abstract
The problem of estimating the difference in arrival times of a radio wave impinging on two spatially separated antennas is considered. By exploiting the cyclostationary property of the signal of interest, a new parameter estimation algorithm that is highly tolerant to interference and noises is proposed. The new algorithm models the time-delay operator as a finite impulse response (FIR) filter. From a set of linear equations involving cyclic (cross) correlation, the time delay is estimated to be the index of the FIR filter parameter that has the maximum value. When the signal of interest has a known (or measurable) carrier frequency or keying rate that is distinct from those of interference, the new approach exhibits signal selectivity from the temporally, spectrally, or spatially overlapped interference and noises. The computational complexity of the new approach is comparable to that of the conventional method.
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