The invention discloses a
compressed sensing-based multi-input and multi-output
radar two-dimensional angle
estimation method. The main objective of the invention is to solve the problems of low accuracy and large computation amount in
MIMO (multi-input and multi-output)
radar two-dimensional angle
estimation in the prior art. The method includes the following steps that: 1) a uniform
linear array model is established, and uniform array output signals are obtained; 2) a
direction of arrival output uniform
linear matrix and an emission angle output uniform
linear matrix are respectively constructed through the output signals, and a direction-of-arrival
covariance matrix and an emission angle
covariance matrix are calculated; 3) a
direction of arrival observation vector and an emission angle observation vector as well as a
direction of arrival fitting error and an emission angle fitting error are respectively constructed through the elements of the direction of arrival
covariance matrix and the emission angle
covariance matrix, and a direction of arrival super complete set and an emission angle super complete set are constructed; and 4) the optimal sparse solution of the directions of arrival and the optimal sparse solution of emission angles can be calculated according to the spare relationship between the direction of arrival and emission angle observation vector and the direction of arrival and emission angle super complete set, and a direction of arrival amplitude
spectrogram and an emission angle amplitude
spectrogram are drawn. With the method of the invention adopted, the operating rate of passive direction finding and angle
estimation accuracy under a low
signal to
noise ratio can be improved. The method can be used for target detection and passive location.