Digital frequency-locked loop for use with staggered sampling systems

Claim 3

The method as recited in claim 1 wherein N of said data signals respectively designated x n for n=0 through N-1 are provided over M cycles of said input signal and wherein said step of performing an approximation to the optical mean square estimation analysis comprises the substeps of: providing four weighted sums from said data signals in accordance with the following expressions: ##EQU4## wherein: a n =cos [(2πM/N) (n+1/2-N/2)]; b n =sin [(2πM/N) (n+1/2-N/2)]; c n =(a n /N).(n+1/2-N/2); and d n =(b n /N).(n+1/2-N/2); for n=0, 1, 2 . . . (N-1); providing a difference value and an amplitude value from said four weighted sums in accordance with the following expressions: D=-SUM.sub.1 SUM.sub.4 +SUM.sub.2 SUM.sub.3 +G (SUM.sub.2.sup.2 -SUM.sub.1.sup.2), A=(SUM.sub.1.sup.2 +SUM.sub.2.sup.2), wherein: G=1/[2N sin (2π/N]; and providing said frequency deviation signal in accordance with the follow expression: λ=(6·D)/(λ·M·A).

Claim 4

The method as recited in claim 2 further including the step of placing maximum and minimum limitations on said frequency deviation signal in accordance with the following expression: -0.2≦λ≦0.2, such that said sampling period is modulated with a deviation signal within this range.

Claim 5

The method as recited in claim 1 wherein N of said data signals respectively designated x n for n=0 through N-1 are provided over M cycles of said input signal and wherein said step of performing an approximation to the optimal mean square estimation analysis comprises the substeps of: providing four weighted sums from said data signals in accordance with the following expressions: ##EQU5## wherein: a n =cos [(2πM/N) (n+1/2-N/2)]; b n =sin [(2πM/N) (n+1/2-N/2)]; c n =(a n /N)·(n+1/2-N/2); and d n =(b n /N)·(n+1/2-N/2); for n=0, 1, 2 . . . (N-1); providing a difference value from said four weighted sums in accordance with the following expression: D=-SUM.sub.1 SUM.sub.4 +SUM.sub.2 SUM.sub.3 +G (SUM.sub.2.sup.2 -SUM.sub.1 .sup.2), wherein: G=1/[2N sin (2π/N)]; providing said frequency deviation signal in accordance with the follow expression: λ=(6·D)/(π·M·I), wherein I is equal to a constant value; said method further comprising the steps of: providing an amplitude value in accordance with the following formula: A=SUM.sub.1.sup.2 +SUM.sub.2.sup.2 ; and modulating the amplitude of said input signal in response to said amplitude value such that the amplitude of said input signal is maintained to equal said constant value I.

Claim 6

The method of claim 4 further comprising the step of placing maximum and minimum limitations on said frequency deviation signal in accordance with the following expression: -0.2≦λ≦0.2, such that said sampling period is modulated with a deviation signal within this range.

Claim 7

Apparatus for providing a sampling signal having a first frequency corresponding to a first period wherein said first frequency is maintained in substantially constant proportion to a second frequency of an input signal, said apparatus comprising: (a) means for sampling said input signal at instants determined by said sampling signal to provide a plurality of data signals wherein each said data signal represents the magnitude of said input signal at the sampling instant; and (b) signal processing means for performing an approximation to the optimal mean square estimation analysis on said data values to minimize the sum of the squares of the errors between said data values and assumed values with respect to phase angle, amplitude and frequency to thereby provide a frequency deviation signal which is indicative of the frequency difference between said first and second frequencies, said signal processing means being further adapted to provide said sampling signal and to modulate said first period in response to said frequency deviation signal such that said frequency deviation signal is minimized and, therefore, said first frequency is maintained in substantially constant proportion to said second frequency.

Claim 8

Apparatus for providing a sampling signal having a first frequency corresponding to a first period wherein said first frequency is maintained in substantially constant proportion to a second frequency of an input signal, said apparatus comprising: (a) means for sampling said input signal at instants determined by said sampling signal to provide a plurality of data signals wherein each said data signal represents the magnitude of said input signal at the sampling instant; and (b) signal processing means for performing an approximation to the optimal mean square estimation analysis on said data values to minimize the sum of the squares of the errors between said data values and assumed values with respect to phase angle, amplitude and frequency to thereby provide a frequency deviation signal which is indicative of the frequency difference between said first and second frequencies, said signal processing means being further adapted to provide said sampling signal and to modulate said first period in response to said frequency deviation signal such that said frequency deviation signal is minimized and, therefore, said first frequency is maintained in substantially constant proportion to said second frequency.

Claim 9

Apparatus as recited in claim 6 wherein N of said data signals respectively designated x n for n=0 through N-1 are provided over M cycles of said input signals and wherein said signal processing means is adapted to: provide four weighted sums from said data signals in accordance with the following expressions: ##EQU6## wherein: a n =cos [(2πM/N)(n+1/2-N/2)]; b n =sin [(2πM/N)(n+1/2-N/2)]; c n =(a n /N)·(n+1/2-N/2); and d n =(b n /N)·(n+1/2-N/2); for n=0, 1, 2 . . . (n-=1); provide a difference value and an amplitude value from said four weighted sums in accordance with the following expressions: D=-SUM.sub.1 SUM.sub.4 +SUM.sub.2 SUM.sub.3 +G (SUM.sub.2.sup.2 -SUM.sub.1.sup.2), A=(SUM.sub.1.sup.2 +SUM.sub.2.sup.2), wherein: G=1/[2N sin (2π/N)]; and provide said frequency deviation signal in accordance with the follow expression: λ=(6·D)/(π·M·A), to thereby perform the approximation to the optimal mean square estimation analysis.

Claim 10

Apparatus as recited in claim 7 wherein said signal processing means is further adapted to place maximum and minimum limitations on said frequency deviation signal in accordance with the following expression: -0.2≦λ≦0.2, such that said sampling period is modulated with a deviation signal within this range.

Claim 11

Apparatus as recited in claim 6 wherein N of said data signals respectively designated x n for n=0 through N-1 are provided over M cycles of said input signal and wherein said signal processing means is adapted to: provide four weighted sums from said data signals in accordance with the following expressions: ##EQU7## wherein: a n =cos [(2πM/N)(n+1/2-N/2)]; b n =sin [(2πM/N)(n+1/2-N/2)]; c n =(a n /N).(n+1/2-N/2); and d n =(b n /N).(n+1/2-N/2); for n=0, 1, 2 . . . (N-1); provide a difference value from said four weighted sums in accordance with the following expression: D=-SUM.sub.1 SUM.sub.4 +SUM.sub.2 SUM.sub.3 +G (SUM.sub.2.sup.2 -SUM.sub.1.sup.2) wherein: G=1/[2N sin (2π/N); provide an amplitude value in accordance with the follow formula: A=SUM.sub.1.sup.2 +SUM.sub.2.sup.2 ; modulate the amplitude of said data signals in response to said amplitude value such that the amplitude of said input signal is maintained to equal a constant value I; and provide said freuency deviation signal in accordance with the following expression: λ=(6·D)/(π·M·I).

Claim 12

Apparatus as recited in claim 9 wherein said signal processing means is further adapted to place maximum and minimum limitations on said frequency deviation signal in accordance with the following expression: -0.2≦λ≦0.2, such that said sampling period is modulated with a deviation signal within this range.