초록 ▼

Detecting and grading the state and evolution of wake turbulence caused by an aircraft is made on the basis of radar signals reflected by this turbulence, these signals being analyzed through analysis cells of given dimension in terms of distance and bearing. A first preliminary detection step detec

Detecting and grading the state and evolution of wake turbulence caused by an aircraft is made on the basis of radar signals reflected by this turbulence, these signals being analyzed through analysis cells of given dimension in terms of distance and bearing. A first preliminary detection step detects and locates turbulence in a cell. A second step determines the strength of the detected turbulence, while a third step determines the age of the detected turbulence as well as the geometric parameters which characterize it. This method makes it possible to detect wake turbulence and to determine at one and the same time the position and the strength of the latter as well as its stage of evolution.

대표청구항 ▼

1. A method for detecting a state or an evolution of wake turbulence caused by an aircraft, on the basis of received radar signals reflected by this turbulence, the received radar signals being analyzed through cells of given dimension in terms of distance and bearing, said method comprising: utiliz

1. A method for detecting a state or an evolution of wake turbulence caused by an aircraft, on the basis of received radar signals reflected by this turbulence, the received radar signals being analyzed through cells of given dimension in terms of distance and bearing, said method comprising: utilizing a radar to receive radar signals reflected by turbulence;using the received radar signals to perform a first preliminary detection step for detecting and locating turbulence in a cell;using the received radar signals to perform a second step for determining a strength of the detected turbulence; andusing the received radar signals to perform a third step for determining a degree of evolution of the detected turbulence as well as geometric parameters which characterize the turbulence;wherein the second and the third steps are implemented in parallel, independently of one another, for each cell for which turbulence has been detected on completion of the first step. 2. The method as claimed in claim 1, wherein the first step comprises: a fourth step of high-resolution spectral decomposition;a fifth step of calculating entropy of a Doppler spectrum of the received radar signals; andsixth step of detecting the presence of turbulence for each cell, by comparison with a fixed threshold of the level of the entropy measured for this cell;wherein the first step provides an indication regarding the position of the detected turbulence and an indication regarding richness of a Doppler spectrum in a spectral component of the corresponding received radar signals. 3. The method as claimed in claim 2, wherein the fourth step implements a regularized autoregressive analysis scheme providing reflection coefficients μn of a determined autoregressive model. 4. The method as claimed in claim 3, wherein during the fifth step, the entropy is calculated on the basis of the following relation: S=∑k=2n-1⁢(n_k)·(12·ln⁡(1+μk1-μk))2 where S is the entropy, and the terms μk represent regularized reflection coefficients of the autoregressive model of the received radar signals. 5. The method as claimed in claim 1, wherein the second step comprises: a fourth step of spectral decomposition by Fourier transformation of the received radar signals;a fifth step of normalizing a Doppler spectrum obtained;a sixth step of detecting components of significant level of the Doppler spectrum, by comparison with respect to a fixed threshold;a seventh step of calculating a circulation of a tangential speed within the turbulence; andan eighth step of calculating a variance of the tangential speed on the basis of the components of significant level of the Doppler spectrum;wherein the second step provides an indication regarding the strength of the detected turbulence. 6. The method as claimed in claim 5, wherein, during the seventh step, the circulation of the tangential speed is determined on the basis of the components of significant level of the Doppler spectrum through the following relation: Γ∝2·∫Vm⁢⁢i⁢⁢nVmax⁢Vi2·[F⁡(Vi)]2/3·ⅆVi∫V⁢m⁢⁢i⁢⁢nVmax⁢[F⁡(Vi)]·ⅆVi,where Γ is the circulation of the tangential speed, and F(Vi) represents the value of a component Vi of the Doppler spectrum. 7. The method as claimed in claim 5, wherein, during the eighth step, the variance of the tangential speed is determined on the basis of the components of significant level of the Doppler spectrum through the following relations: L∝∫V⁢m⁢⁢i⁢⁢nV⁢m⁢⁢a⁢⁢x⁢Vi2·[F⁡(Vi)]·ⅆVi∫V⁢⁢m⁢⁢i⁢⁢nVmax⁢[F⁡(Vi)]·ⅆVi where L is the variance of the tangential speed, and F(Vi) represents the value of a component Vi of the Doppler spectrum. 8. The method as claimed in claim 1, wherein the third step itself comprises: a fourth step of determining frequency components of a Doppler spectrum of the received radar signals by determining roots of a characteristic polynomial of an autoregressive model of the received radar signals; anda fifth step of analyzing a density of the frequency components of the Doppler spectrum and a slope of variation of a value of the frequency components over an analysis time;wherein the third step provides an indication regarding a stage of evolution of the detected turbulence and an indication regarding geometry of the turbulence.