相控阵MIMO雷达的信号模型、波束形成与检测性能.pdf

西安电子科技大学硕士学位论文相控阵MIMO雷达的信号模型、波束形成与检测性能姓名：崔恒珺申请学位级别：硕士专业：信号与信息处理指导教师：冯大政20100601??I???????-MIMO ??????????????????? MIMO ?????(?????)???????????????????????????????????????????????????????????????????????? ??????????????? MIMO ???????????????????????-MIMO ?????????????????????????????????????????????/???????????? MIMO ??????????????????????SINR? ?????????? RCS????????????????????-MIMO ???????????????-MIMO ???????????????????????Full-MVDR? ??????????????????????????????????????????????????????TS-MVDR???????????????????????-MIMO ???????????-MIMO ????????????? MIMO?????????????????????????-MIMO ????????????????????????????-MIMO ???????????MIMO ?????????? ????MIMO ?? MIMO ?? ????? ??????? ???? ??AbstractIIIAbstractPhased-MIMO radar combines the advantages of the MIMO radar(such aswaveform diversity) with the advantages of the phased-array radar(such as coherentprocessing). Its transmit array is divided into a number of subarrays that are allowed tooverlap. Each subarray is used to coherently transmit a waveform which is orthogonalto the waveforms transmitted by other subarrays. Coherent processing gain can beachieved by designing the weight vector of each subarray to form a beam towards acertain direction in space(the same direction for all subarrays). In the meanwhile, thesubarrays are combined jointly to form a MIMO radar resulting in higher angularresolution capabilities.On the one hand, compared to the phased-array radar, phased-MIMO radar enablesimproving angular resolution, increasing the upper limit on the number of detectabletargets, improving parameter identifiability, extending the array aperture by virtualsensors and enhancing the flexibility for transmit/receive beampattern design. On theother hand, as compared to the MIMO radar, phased-MIMO radar enjoys the transmitcoherent processing gain, less beam-shape loss which leads to performance degradationin the presence of the target’s RCS fading and more signal to noise ratio(SNR) gain.Our paper first introduces the signal model of phased-MIMO radar, then discussesthe issue ofadaptive beamforming, includingoptimaladaptive beamforming?Full-MVDR?, dimension reduced adaptive beamforming based on eigenspace,dimension reduced adaptive beamforming based on selecting two-dimensional partialbeam and two sidedminimum-variance distrotionless responsebeamforming(TS-MVDR). During the above process, we present the performance ofphased-MIMO radar on different circumstances by all kinds of experiments. In the end,we give the likelihood ratio test(LRT) detector of phased-MIMO radar. All the theoriesare supported by the simulation results which demonstrate the advantages ofphased-MIMO radar over the other two radars.Key words: Phased-MIMO radar MIMO radar Phased-array radarAdaptive beamformingDimension-reduced technique Detection performance?????????????????????????????????????? ?????????????????????????????? ?????????????????????????????? ?????????????????????????????? ?????????????????????????????? ?????????????????????????????????????????????????????????????????????? ??? ?? ??????????????? ?????????? ????????????????????????????? ??????????????????????????????1?????????????? MIMO ???????????? 30 ?????????????[1-5]????? 70 ??????????????????????????????????????????????????????????[6-7]????????????[8-9]???????????????????????????????????????????????????????????????????????????????????????????????????????[10]???????????????? ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????(??????)????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????/???????????????????????????????????????????????????????????????/??????????????????????????????????????????????????????????????????/???????????????????????????????????????????? 1937 ???????????????????? 50 ??????????? MIMO ?????????????????22 ????????????60 ????????????????????????????????????????? AN/FPS-46?AN/FPS-85?MAR?MSR? ????“??”?“??”?? ???????????????? ???????????????????????????????????????AN/FPS-85 ?????“??”?????70 ???????????????????????????????????????????????????????????????????? AN/TPN-25 ?AN/TPQ-37 ? GE-592???? AR-3D? ??? AN/TPN-25? ??? NPM-510 ? J/NPQ-P7? ???? RAT-31S???? KR-75 ????????????????????????????????????????????80 ??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? 21 ?????????????????????????????????????????????????????????????????????????????[11]?????????????????????????????????????????? MUSIC?Multiple Signal Classification??????? ML?Maximum-likelyhood?[11]????????????????????????????????????????。