30results about How to "Improve angle estimation accuracy" patented technology

The invention discloses a method for MIMO radar system angle estimation based on fast Fourier transformation. The method for MIMO radar system angle estimation based on fast Fourier transformation comprises the steps that a data matrix received by a first pulse of the radar system is evenly divided and divided signals are expressed as new signals defined according to the four matrix blocks; according to H (1), bi-dimensional fast Fourier transformation is respectively conducted; coherent integration is conducted on F11 (1), F12 (1), F21 (1) and F22 (1), a peak point and the corresponding subscript ix and the corresponding subscript iy are recorded, points corresponding to the subscript ix and the subscript iy are respectively obtained from the F11 (1), the F12 (1), the F21 (1) and the F22 (1), so that the vector of f (1) belonging to C4*1 is established; the covariance matrix of the f (1) is calculated according to the sampling covariance matrix inversion principle, characteristic decomposition is conducted on the covariance matrix, and a noise projection matrix pn can be obtained through a noise sub space un; a transmitting oriented vector and a receiving oriented vector br (theta) are obtained according to a receiving data matrix Y(1) and the leaving angle and the reaching angle are estimated through the MUSIC arithmetic.

A single-bit spatial spectrum estimation method based on logistic regression relates to a spatial spectrum estimation field in array signal processing and a logistic regression field in artificial intelligence. The single-bit spatial spectrum estimation method settles problems of high calculation amount and relatively low precision in a traditional spatial spectrum algorithm on the condition of single-bit extreme quantification and ultralarge-scale antenna array. According to the method of the invention, single-bit received data are modeled for obtaining a sample model, and furthermore an observation model is converted to a real number domain for facilitating subsequent processing. After modeling, a spatial spectrum is used as a coefficient of a linear classifier; a flow pattern is used as an input sample; an array observation output is used as the output which corresponds with the input sample; and spatial spectrum estimation is converted to a linear classification problem. According to the algorithm of the invention, the linear classification problem is solved by means of a logistic regression, thereby obtaining a classification coefficient and a spatial spectrum which is generated correspondingly with an array input signal. The single-bit spatial spectrum estimation method is mainly used for spatial spectrum estimation.

The invention discloses a method for estimating the elevation angle of a low-altitude target under complex terrain conditions. The main ideas are as follows: determine the radar, the low-altitude target exists in the detection range of the radar, the low-altitude target is a target at a set distance from the ground, and the array included in the radar The total number of elements is N, and the total number of digital slow sampling is determined as Snap. The radar sends signals to low-altitude targets within its detection range and receives low-altitude target echo signals; Perform Snap times digital slow sampling at the target range unit, and calculate the low-altitude target echo signal sampling data covariance matrix estimate value to determine the radar search angle range [θ α ,θ β ], θ α Indicates the minimum search angle of the radar, θ β Indicates the maximum value of the search angle of the radar; the energy spectrum E of the echo signal of the low-altitude target is constructed, and then the estimated value of the elevation angle of the low-altitude target is obtained, and the estimated value of the elevation angle of the low-altitude target is an estimation result of the elevation angle of the low-altitude target under complex terrain conditions.