Research On Key Techniques For Single RF Channel Digital Beamforming Array Antenna Based On Time Sequence Phase Weighting

The time sequence phase weighting(TSPW)single-channel array antenna belongs to the single-channel array antenna,which is an important branch of the antenna family.It provides a feasible solution for reducing the hardware cost and power consumption of the wireless system,which can be widely used in modern radar and communication systems.This dissertation mainly focuses on the two key problems,which are the motion compensation and real time processing,of the TSPW single-channel array antenna.The main work and contributions of this dissertation are listed as follows.1.An interpolation rearrangement motion compensation algorithm is proposed.By analyzing the specific structure of TSPW single-channel array antenna,two kinds of single-channel sampling methods are summarized.Considering both the statistical model of the echo and the summarized single-channel sampling methods,the scope of the application of the motion compensation algorithm is proposed.At last,the interpolation rearrangement motion compensation algorithm is proposed to overcome the problem of the existing motion compensation algorithm.2.A single-channel nested-MIMO array is proposed to solve the real-time processing problem when applying the TSPW single-channel technology to the large-scale array antenna.The array consists of a transmit antenna array and a receive antenna array.The sensor locations have closed-form expressions.The receive array exploits TSPW technology to reduce the total number of RF channels.The theoretical derivation demonstrates that the single-channel nested MIMO array can utilize N physical elements to provide 2N2 degrees of freedom(DOF).At the same time,since the overall DOF of the array is not linearly proportional to the number of receiving antenna elements,the single-channel sampling time of the proposed array does not increase linearly with the increment of DOF.3.A spatial-time compressed sensing(STCS)single-channel array antenna and the corresponding signal processing algorithm is proposed.By exploiting the sparse property of the array signals,the spatial sampling frequency and the number of single-channel samplings can be directly reduced with the help compressed sensing(CS)theory.The results from a simulation of an X-band array with aperture size of 80?.under the signal-to-noise ratio of 15dB and the scenario of 6 targets show that the STCS single-channel array antenna could save above 63.1%element numbers and above 84.4%observation times compared with those of conventional time sequence phase weighting(TSPW)array,while ensuring the recovery signals contain the correct target information.4.By exploiting the second-order sparse property of the array signals,a compressed sensing single-channel array antenna and the corresponding signal processing algorithm,which based on the angle-Doppler joint dictionary,are proposed.The angle information is considered to be coupled with the Doppler information,which contains the single channel samplings.The proposed array directly process the single-channel samplings to extract the angle and velocity information of the targets at the same time.The requirement of the system sampling is the same as the conventional multi-channel system.Thus,the proposed array can solve real-time processing problem as well as the motion compensation problem.