An estimating method for periodic signal period under strong background noise
An estimating method for periodic signal period under strong background noise
 CN 100,472,507 C
 Filed: 11/24/2004
 Issued: 03/25/2009
 Est. Priority Date: 11/24/2004
 Status: Active Grant
First Claim
1. , a kind of periodic signal self sequence of utilizing under the strong background noise is carried out estimation approach to its cycle, it is characterized in that, comprises the steps:
 the objective function of a kind of sequence measure function of (1) definition as search;
(2) provide the initial period region of search [T _{Min}, T _{Max}] and the initial ranging mode;
(3) constantly the signal period of conversion supposition searches forand whenever give the signal period T of a supposition, the original signal sequence is carried out Time domain averaging, and average output sequence is calculated the measure function value by this cycle;
(4) do the time domain average spectrumthe junction curve of the measure function value of corresponding each search cycle point;
(5) according to the cycle of the accurate cycle estimator signal of the extreme value on the averaging spectrum, if successful then process finishes, otherwise the adjustment region of search or way of search are changeed step (3) and are continued.
Chinese PRB Reexamination
Abstract
The estimation method of period of periodical signal in strong background noise is the method of utilizing the self sequence of the periodical signal in searching the period. The method includes the following steps: defining one sequence measuring function as searching target function; giving initial period searching interval and initial searching mode; searching while continuously changing the assumed signal period for time interval averaging and calculating the measuring function value; forming time domain average spectrum; precisely estimating the period of periodical function based on the extreme value of the average spectrum; and ending or returning to the searching step after regulating search interval or mode. The present invention has powerful period detecting ability on low S/N periodical signal.
2 Claims

1. , a kind of periodic signal self sequence of utilizing under the strong background noise is carried out estimation approach to its cycle, it is characterized in that, comprises the steps:
 the objective function of a kind of sequence measure function of (1) definition as search;
(2) provide the initial period region of search [T _{Min}, T _{Max}] and the initial ranging mode;
(3) constantly the signal period of conversion supposition searches forand whenever give the signal period T of a supposition, the original signal sequence is carried out Time domain averaging, and average output sequence is calculated the measure function value by this cycle;
(4) do the time domain average spectrumthe junction curve of the measure function value of corresponding each search cycle point;
(5) according to the cycle of the accurate cycle estimator signal of the extreme value on the averaging spectrum, if successful then process finishes, otherwise the adjustment region of search or way of search are changeed step (3) and are continued.
 the objective function of a kind of sequence measure function of (1) definition as search;

2. according to the cycle method of estimation described in the claim 1, it is characterized in that, signal period T of the every supposition of program will carry out following Time domain averaging to the original signal sequence:
 establishing the primitive period signal that contains ground unrest is x (t), it is that the N point sampling sequence of sampling interval is x (n) n=0 with Δ
t, 1, Λ
, N1, to the supposition period T, make the K=floor (N/T that on average counts _{Max}), floor is downward bracket function, makes m _{i}=round (iT/ Δ
t), round is bracket function nearby, then the output sequence behind the time domain average is
 establishing the primitive period signal that contains ground unrest is x (t), it is that the N point sampling sequence of sampling interval is x (n) n=0 with Δ
Specification(s)