Beihang University

Xiangrong Wang

Xianbin Cao

Huaiyuan Liang

Zhenyu Xiao

Pengcheng Wang

Xing Xi

The present application provides a method, apparatus and electronic equipment for recognizing a posture of a target, a first receiving signal and a second receiving signal upon scattering of a transmitting signal from a target to be recognized are acquired, a first baseband signal is determined according to the first receiving signal and the transmitting signal, and a second baseband signal is determined according to the second receiving signal and the transmitting signal; and a category of the posture of the target to be recognized is finally determined according to the first baseband signal and the second baseband signal. The first baseband signal and the second baseband signal carry various feature values related to the posture of the target, including but not limited to transversal velocity information and radial velocity information, etc.

Method, apparatus and electronic equipment for recognizing posture of target

Provided are a method and device for determining a motion trajectory of a target. The method includes: acquiring a transmitted signal, a first echo signal, and a second echo signal of a frequency modulated continuous wave radar; performing a coherent operation on the transmitted signal and the first echo signal, to determine a beat signal therebetween; performing a two-dimensional fast Fourier transform on the beat signal to determine an initial position of the target; performing a short-time Fourier transform on the beat signal to determine a radial velocity of the target; calculating a difference frequency signal between the first and second echo signals; determining a tangential velocity of the target according to the difference frequency signal; inputting the initial position, the radial velocity, and the tangential velocity to a Kalman filter, and receiving a motion trajectory of the target output by the Kalman filter.

Method and device for determining motion trajectory of target

The channel estimation method for millimeter-wave communication includes virtual multipath acquisition and sparse reconstruction. In the virtual multipath acquisition stage, instead of searching the real multipath components (MPCs), the virtual representation of the real MPCs is derived, and the hierarchical search is utilized to acquire the virtual MPCs based on a normal limited-resolution codebook. In the sparse reconstruction stage, the real MPCs are reconstructed from the virtual MPCs acquired in the virtual multipath acquisition stage. An enhanced sub-array scheme is used to design a hierarchical codebook under a strict constant-modulus constraint. The designed codebook can be used for both analog and hybrid beamforming/combining devices. The training overhead of channel estimation and the complexity of the search are significantly reduced, and the size of the dictionary matrix is greatly reduced by exploiting the results of the virtual multipath acquisition.

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Beijing, China

Xiangrong Wang