4results about How to "Avoid estimation error" patented technology

The present application relates to monocular vision detection field, specifically to a kind of monocular vision 3D target detection method, low-level and high-level semantic features of picture are extracted using network skeleton and feature pyramid structure, the approximate position of target is obtained using candidate network P-Net, then the center point position of target is accurately obtained by refining network O-NeT, in order to eliminate the position deviation introduced when the image is down-sampled, in the present application, the position deviation information of target center will also be output, in addition, in order to solve the problem that the distance depth information of target is not estimated accurately in monocular 3D target detection, a simple and effective joint context module is proposed in the present application to more accurately predict the depth distance information of target, the problem of balancing comprehensive accuracy, detection speed and landing cost in the present monocular vision 3D target detection is solved.

This disclosure provides a channel estimation method, apparatus, and storage medium, relating to the field of communication technology, for channel estimation. The method includes: receiving a transmission signal and demodulating the transmission signal to determine a first resource block carrying the transmission signal; gaps existing among multiple pilot signals; inserting auxiliary pilot signals into the gaps according to the frequency domain distribution pattern of the multiple pilot signals in the first resource block, so that the multiple pilot signals in the first resource block are uniformly distributed in the frequency domain; determining the channel estimation value of the auxiliary pilot signal based on the channel estimation values ​​of the multiple first pilot signals; the multiple first pilot signals and the auxiliary pilot signal being located in the same time domain unit and adjacent to the auxiliary pilot signal in the frequency domain; and calculating the channel estimation value of a resource unit carrying transmission data based on the channel estimation value of each of the multiple pilot signals and the channel estimation value of the auxiliary pilot signal.

The present invention discloses a SAR weak maneuvering target imaging method based on adaptive phase tracking, comprising the steps of: constructing a radar echo signal model; performing pulse compression on the SAR echo signal, and correcting the range curvature by SOKT, and correcting the range movement by estimating the first-order motion parameter by Hough transform; the energy of the maneuvering target signal after the range movement correction will be concentrated in a distance unit, which will be modeled as a PPS signal; extracting the signal of the distance unit where the maneuvering target is located for phase tracking, and inverting the maneuvering target parameters by using the phase obtained by tracking; constructing a phase compensation function by using the estimated motion parameters to achieve focused imaging. The present invention can be used for SAR weak maneuvering target imaging; the parameter estimation has high accuracy and small calculation amount; and focused imaging can be performed at low SNR.

The application provides a Q value extraction method based on far-field wavelet constraint, comprising the following steps: obtaining the corresponding amplitude spectrum of the seismic record after Fourier transform of the seismic record after passing through a viscoelastic medium according to the input far-field wavelet; linearly expanding the part describing the attenuation effect in the post-attenuation amplitude spectrum to construct the post-attenuation amplitude under the far-field wavelet constraint and the post-attenuation amplitude spectrum equation of the non-attenuation wavelet; and finally solving the over-determined equation to obtain the estimated amplitude spectrum. The Q value extraction method provided by the application is not to directly obtain the amplitude spectrum of the seismic record, but to consider the attenuation condition of the seismic wave, and to construct the wavelet spectrum estimation equation containing the attenuation influence and the double constraints of the far-field wavelet and the smoothing factor. The equation effectively eliminates the influence of the interface reflection coefficient on the spectrum estimation, and since the equation considers the absorption attenuation effect of the stratum, the estimation result is more in line with the real situation underground, and the estimation result is more accurate.