Abstract: This is a technique for extending the frequency range which employs a power divider having two outputs, one output being supplied to a first A/D converter, and the other output being supplied via a delay device to a second A/D converter. A processor receives the outputs of the two A/D converters. In operation, the input signal is subjected to a known delay .tau. and both original and delayed signals are sampled simultaneously. Both sampled signals are Fourier transformed and the phase and amplitudes calculated, using the expressions:.phi.(f)=tan.sup.-1 [I(f)/R(f)]A(f)=[R.sup.2 (f)+I.sup.2 (f)].sup.1/2where R(f) and I(f) are respectively the real and imaginary parts of the frequency transform. The phase difference between the original and delayed signals is calculated and an approximation to the true frequency for each peak observed in the amplitude spectrum is estimated using the expression.phi.=2.pi.f.tau.where .tau. is the delay.In general, one would expect that when f.tau.

Abstract: This is a technique for extending the frequency range which employs a power divider having two outputs, one output being supplied to a first A/D converter, and the other output being supplied via a delay device to a second A/D converter. A processor receives the outputs of the two A/D converters. In operation, the input signal is subjected to a known delay .tau. and both original and delayed signals are sampled simultaneously. Both sampled signals are Fourier transformed and the phase and amplitudes calculated, using the expressions:.phi.(f)=tan.sup.-1 [I(f)/R(f)]A(f)=[R.sup.2 (f)+I.sup.2 (f)].sup.1/2where R(f) and I(f) are respectively the real and imaginary parts of the frequency transform. The phase difference between the original and delayed signals is calculated and an approximation to the true frequency for each peak observed in the amplitude spectrum is estimated using the expression.phi.=2.pi.f.tau.where .tau. is the delay.

Abstract: This is a technique for extending the frequency range which employs in-phase and quadrature components of the signal coupled with non-uniform sampling to gain the advantages of a high sampling rate with only a small increase in the number of samples. By shifting the phase of the local oscillator by 90 degrees, a quadrature IF signal can be generated. Both in-phase and quadrature components are sampled and the samples are combined to form a complex signal. When this signal is transformed, only one alias is obtained per periodic repetition and the effective Nyquist frequency is doubled. Two sets of complex samples are then used with the slightly different sampling frequency. Each set is independently Fourier transformed and the frequency of the lowest aliases permits unambiguous determination of the signal frequency over a range far exceeding the Nyquist frequency.

Abstract: This proposed approach to extending the frequency range uses non-uniform sampling to gain the advantages of a high sampling rate with only a modest increase in the number of samples. The basic idea is to use two sets of uniform samples with slightly different sampling frequency. Each set of samples is Fourier transformed independently and the frequency of the lowest aliases determined. It is shown that knowledge of these two alias frequencies permits unambiguous determination of the signal frequency over a range far exceeding the Nyquist frequency, except at a discrete set of points. It is further shown that one additional set of samples is sufficient to resolve all these discrete degeneracies.