Research On Super-resolution DOA Estimation Algorithm Based On Communication And Perception Integrated Distributed Base Station

The communication and perception integrated base station can realize sensing and communication functions at the same time by sharing software and hardware resources,which effectively improves the system utilization rate and information processing efficiency.DOA estimation is an important basic capability for it to achieve target positioning and reconstruct the physical world,and has very important research value.Although the communication and perception integrated base station is mainly used in short-range scenarios,its target is complex and easy to approach,and requires high diagonal resolution and estimation accuracy.The communication and perception integrated distributed base station refers to the arrangement of multiple small-aperture base stations in the form of a distributed array according to certain rules to form an array of large physical apertures,so as to improve the angular resolution and estimation accuracy of the base station,and achieve effective resolution and positioning of the target.Based on the communication and perception integrated distributed base station,thesis takes the high-precision positioning of the target as the starting point,and mainly studies its super-resolution DOA estimation algorithm,including the signal model and DOA estimation algorithm,the high-resolution DOA estimation algorithm of the mixed field and the nearby target,etc.The details are as follows:1)According to the characteristics of the communication and perception integrated distributed base station,its typical application scenarios and system foundation are introduced.Based on the distributed array,the array signal model and angle measurement principle are described in detail,and several classical DOA estimation algorithms are studied.Then,the grating lobe characteristics and the fuzzy-free estimation method of the distributed array are analyzed,and the feasibility of applying the conventional DOA estimation algorithm to it is verified.2)Aiming at the problem that the traditional far-field signal model and DOA estimation algorithm are not suitable for the mixed far and near field,the field division criterion of the distributed array is redesigned,a signal model suitable and the MFMUSIC algorithm for the mixed-field signal source is constructed,and a spatial smoothing algorithm is introduced.The proposed method solves the problem of highprecision DOA estimation of mixed-field sources,and its effectiveness and performance advantages are verified through simulation experiments and measured data analysis.3)Aiming at the problem that the closely spaced target is difficult to distinguish,the RELAX algorithm based on the idea of signal separation is introduced,and a fast RELAX algorithm based on interval restrict is proposed.Then,the subspace super-resolution DOA estimation algorithm is introduced to further improve it.According to the characteristics of mixed-field and far-field sources,the super-resolution DOA estimation algorithms of RMM and RDE are proposed respectively for it.The proposed algorithm improves the estimation accuracy of the closely spaced target and reduces the amount of computation,and its performance advantages are verified through simulation experiments and measured data processing.