A Time-Frequency Endpoint Parameter Estimation Method of Underwater Signal Based on Constant False Alarm Detection
A constant false alarm detection and underwater signal technology, which is applied in the field of underwater acoustic signal detection, parameter estimation, analysis and processing, and time-frequency endpoint parameter estimation of underwater acoustic signals. Endpoint parameter estimation system and other issues, to achieve the effect of high detection probability
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0091] 1) Read the data and process the data in frames.
[0092] Assume that x(n) is the received data and its number of points is f s *T, where f s is the data sampling frequency, and T is the duration of receiving data. If from T 1 The data starting at the moment is intercepted in the time domain, and the interception length is t, for example, t is 10 seconds. The obtained time-domain intercepted signal is
[0093] x'(n)=x(T 1 *f s +n)(0≤ns )
[0094] 2) Perform frequency band processing on the framed data
[0095]In the present invention, it is necessary to divide the signal into frequency bands according to the frequency range information of the underwater acoustic signal and the underwater acoustic experimental data, and use non-equally spaced frequency bandwidth to divide and analyze the signal. When dividing the frequency bandwidth at non-equal intervals, the frequency band division of the low frequency part is narrow (≤5KHz), and the frequency band division of ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


