10results about How to "Improved clutter suppression performance" patented technology

The invention belongs to the technical field of radars, and discloses a radar clutter trace point screening method using target short-time motion characteristics. The invention provides a radar clutter trace point screening method based on target motion characteristic parameter constraint and a short-time stability principle from trace point layer research on the basis that target motion generally has continuous and stable space-time relevance and clutter trace points appear randomly. According to the method, a set of clutter trace point screening method rules is provided based on target motion characteristic parameter constraints and short-term stability of target motion by only utilizing time and position basic information carried by trace points, clutter trace points can be effectively eliminated in a dense clutter background, target trace points can be effectively extracted, and the target trace points can be effectively extracted. And an effective technical support is provided for radar weak target detection and tracking under the clutter background.

The invention discloses a radar clutter suppression method and device, a storage medium and a product, and relates to the technical field of radars. The method comprises the following steps: respectively carrying out pulse compression processing on radar echo signals collected by each channel to obtain a one-dimensional pulse compression result; performing digital beam forming processing on the one-dimensional pulse compression result to obtain one-dimensional distance dimension results in different directions; performing fast Fourier transform on the one-dimensional distance dimension result to obtain an original distance Doppler map; estimating a clutter spectrum center and a clutter spectrum width according to the original distance Doppler map; designing a filter according to the clutter spectrum center and the clutter spectrum width; performing convolution calculation on the one-dimensional distance dimension matrix and a filter to obtain a primary clutter suppression processing result; and performing fast Fourier transform on the primary clutter suppression processing result along the row direction to obtain a distance Doppler map after primary clutter suppression processing. According to the invention, a good clutter suppression effect can be realized, and the problem of reduction of radar clutter suppression efficiency is improved.

The invention provides a surface acoustic wave resonator and a preparation method thereof, a filter and electronic equipment, and relates to the technical field of semiconductors. A metal layer is arranged on one side, deviating from a substrate, of a temperature compensation layer, namely, the metal layer is arranged above the temperature compensation layer, a dielectric layer is further arranged between the temperature compensation layer and the metal layer, and the orthographic projection of the metal layer in a first direction covers the tail end part of an interdigital electrode. The arrangement of the metal layer realizes a larger sound velocity difference by changing the sound velocity in the region, so that the transverse mode is reflected to different directions to avoid energy dissipation caused by resonance, and the purposes of suppressing miscellaneous mode interference, improving the Q value and improving the performance of the surface acoustic wave resonator are achieved. The dielectric layer can prevent the metal layer from being oxidized by the temperature compensation layer, so that the clutter suppression effect of the surface acoustic wave resonator can be improved.

The invention discloses a data processing method for realizing target detection and tracking during radar advancing, and belongs to the technical field of radar data processing. Firstly, data resources of a radar platform during advancing are obtained by means of positioning and orientation equipment, and calculation of a Doppler compensation value and an airspace scanning angle compensation value is achieved by means of the resources. Secondly, performing data preprocessing and spatial calibration on radar data issued by signal processing to obtain trace point data containing longitude and latitude height information; and then selecting a reference point in a geodetic coordinate system, constructing an inter-travel amplitude clutter map, and judging and marking clutters according to the clutter map to obtain a target trace point. Then, a sector where the target is located is calculated according to target trace point information, and a target track is formed through a track processing algorithm. And finally, selecting a tracking target, and carrying out beam pointing angle calculation on the selected target to complete target tracking. According to the invention, target detection and tracking during radar advancing are realized.

The present invention provides a bulk acoustic wave filter, a design method, a manufacturing method and a communication device, comprising: using a series thin film bulk acoustic wave resonator and a parallel thin film bulk acoustic wave resonator to build a bulk acoustic wave filter with a ladder topology structure, the series thin film bulk acoustic wave resonator and the parallel thin film bulk acoustic wave resonator both include a functional layer and a frame structure with a protrusion, wherein the functional layer includes a lower electrode, a piezoelectric layer, and an upper electrode; simulating to obtain a frequency response curve of the bulk acoustic wave filter, identifying the frequency range of a parasitic passband caused by the protrusions of the frame structure in the series thin film bulk acoustic wave resonator and the parallel thin film bulk acoustic wave resonator at a low frequency of the passband of the bulk acoustic wave filter; designing the parasitic resonance frequency of the series thin film bulk acoustic wave resonator to be lower than the parasitic resonance frequency of the parallel thin film bulk acoustic wave resonator at the frequency range corresponding to the parasitic passband, thereby forming a parasitic stopband replacing the parasitic passband at the frequency range of the parasitic passband.

The invention discloses a clutter suppression and sensing parameter estimation method in a sensing mobile network. The method comprises the following steps: step 1, remote wireless units of M antennas transmit 5GNR signals through a uniform linear array; 2, the remote wireless unit receives signals reflected back in the environment; step 3, clutter suppression is carried out on the received signal by using a multi-pulse cancellation algorithm; step 4, converting the signal obtained after clutter suppression into a composite model used for solving a sparse multi-measurement vector recovery problem; step 5, using a UAMP-SBL for MMV algorithm to solve the composite model, and identifying L rows of the matrix A corresponding to the L paths in the composite model; step 6, introducing all sensing parameters except time delay into the matrix A, and extracting non-zero lines in the matrix A to obtain a matrix A '; and step 7, performing sensing parameter estimation according to the matrix A '. The method not only minimizes clutter interference, but also reduces the number of required sensing parameters, and simplifies the subsequent sensing algorithm.

The invention discloses a navigation radar rain and snow clutter suppression method based on clutter envelope. The method adopts a first-order model to iteratively update and calculate smooth echo data; adopts azimuth distance mean filtering to smooth echo data; adopts sliding window average power maximum and minimum weighted estimation of clutter power; further obtains a smoothed inner envelope of the clutter power estimation value, and weights it with the rain and snow clutter suppression strength to obtain a detection threshold; the invention performs target detection and rain and snow clutter suppression, can effectively reduce interference target shielding and clutter edge shielding, better retains target information, and obtains a better rain and snow clutter suppression effect.

This invention provides an adaptive dimensionality reduction clutter suppression method and system for multi-channel radar on a high-speed platform. The method includes: performing spatial dimensionality reduction processing on the original spatiotemporal two-dimensional echo data; transforming it to the beam-pulse domain; performing sub-pulse smoothing processing and quantization on the beam-pulse domain data to obtain multiple sets of sub-aperture data; estimating the covariance matrix of clutter plus noise based on the multiple sets of sub-aperture data; calculating the clutter suppression weight vector for each set of sub-aperture data according to the covariance matrix; performing clutter suppression on the set of sub-aperture data to obtain the clutter suppression result; and coherently accumulating the clutter suppression results of all sets to obtain the final clutter suppression result. This invention achieves better clutter suppression performance with lower computational complexity through beam-sub-pulse smoothing accumulation technology. Furthermore, this invention not only requires fewer training samples but can also expand the training samples to obtain an accurate clutter plus noise covariance matrix, making it suitable for situations with few training samples.

The invention discloses a method and device for fine clutter suppression of airborne radar by partitioning and segmenting, comprising: step 1: simulating and generating echo signals of each distance unit of the airborne radar; step 2: performing main clutter tracking processing on the echo signals generated in step 1, and moving the main clutter to zero frequency; step 3: performing fast Fourier transform processing on the pulse data of the echo signals in step 2, and transforming them into the Doppler domain; step 4: performing partition processing on the data in the Doppler domain in step 3; step 5: uniformly segmenting the samples in the sidelobe stable clutter area of ​​step 4 in the distance dimension; step 6: eliminating the singular samples in each segment in step 5 by using the generalized inner product method, and performing two-dimensional space-time adaptive processing on the remaining data; step 7: segmenting the samples in the sidelobe non-stationary clutter area of ​​step 4, and performing three-dimensional space-time adaptive processing; step 8: performing constant false alarm detection on the data in the clear area, the sidelobe stable clutter area and the sidelobe non-stationary clutter area.

This invention discloses a thin-film bulk acoustic wave resonator structure and its fabrication method, comprising: a substrate; a cavity formed on the substrate; wherein, viewed from above: the cavity has a pentagonal structure with a release port formed on each side of the pentagonal structure; a support ring located on the substrate and surrounding the cavity, with the release ports exposed; a support layer located on the support ring and having a thickness less than that of the support ring; a bottom electrode edge load located above the release ports of the cavity and having a thickness equal to that of the support layer; a bottom electrode located on the support layer and the bottom electrode edge load; a piezoelectric layer located on the bottom electrode; a top electrode located on the piezoelectric layer; a passivation layer; and the periphery of the piezoelectric layer, bottom electrode, support layer, and support ring located on and below the top electrode. This invention improves some performance characteristics of the device and enhances its practicality, reliability, stability, and durability.