{"title":"利用相关和多普勒容差特性的FDA-MIMO雷达运动目标检测波形设计","authors":"Jiawei Qi;Lan Lan;Guisheng Liao;Jingwei Xu","doi":"10.1109/TVT.2025.3550741","DOIUrl":null,"url":null,"abstract":"This article investigates the problem of transmit waveform design in a Frequency Diverse Array (FDA)-Multiple-Input Multiple-Output (MIMO) radar for moving target detection against Doppler frequency shift and range ambiguity. In our system design, the FDA-MIMO radar is developed by transmitting designed phase-coded waveforms with a frequency increment between transmit antenna elements, which provides extra Degrees-Of-Freedom (DOFs) in the range-angle domains for target detection. In specific, for high-speed moving targets, an optimization problem is formulated to devise the phase-coded waveforms with low correlation properties under a constant modulus constraint as well as a similarity constraint involving a known radar waveform with good Doppler tolerance. To tackle such a non-convex optimization problem, the Majorization Minimization-Alternating Direction Method of Multipliers projection (MM-ADMM-projection) algorithm is developed in an iterative way, where an MM method is employed by constructing a series of surrogate functions to approximate the optimal solution. Furthermore, by introducing the ADMM method, each surrogate function is separated into linear and quadratic functions, where the constant modulus and similarity constraints are only imposed on the former. Then, a projection method is proposed to remove the non-convex constraints in the feasible region. In particular, the Conjugate Gradient (CG) method is implemented to reduce the computational burden, and the local convergence of the proposed method is proved. Numerical results are provided to demonstrate the effectiveness of the designed waveform in detecting moving target considering the range ambiguity.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 8","pages":"11978-11992"},"PeriodicalIF":7.1000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Waveform Design for Moving Target Detection With FDA-MIMO Radar Exploiting Correlation and Doppler Tolerance Properties\",\"authors\":\"Jiawei Qi;Lan Lan;Guisheng Liao;Jingwei Xu\",\"doi\":\"10.1109/TVT.2025.3550741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article investigates the problem of transmit waveform design in a Frequency Diverse Array (FDA)-Multiple-Input Multiple-Output (MIMO) radar for moving target detection against Doppler frequency shift and range ambiguity. In our system design, the FDA-MIMO radar is developed by transmitting designed phase-coded waveforms with a frequency increment between transmit antenna elements, which provides extra Degrees-Of-Freedom (DOFs) in the range-angle domains for target detection. In specific, for high-speed moving targets, an optimization problem is formulated to devise the phase-coded waveforms with low correlation properties under a constant modulus constraint as well as a similarity constraint involving a known radar waveform with good Doppler tolerance. To tackle such a non-convex optimization problem, the Majorization Minimization-Alternating Direction Method of Multipliers projection (MM-ADMM-projection) algorithm is developed in an iterative way, where an MM method is employed by constructing a series of surrogate functions to approximate the optimal solution. Furthermore, by introducing the ADMM method, each surrogate function is separated into linear and quadratic functions, where the constant modulus and similarity constraints are only imposed on the former. Then, a projection method is proposed to remove the non-convex constraints in the feasible region. In particular, the Conjugate Gradient (CG) method is implemented to reduce the computational burden, and the local convergence of the proposed method is proved. Numerical results are provided to demonstrate the effectiveness of the designed waveform in detecting moving target considering the range ambiguity.\",\"PeriodicalId\":13421,\"journal\":{\"name\":\"IEEE Transactions on Vehicular Technology\",\"volume\":\"74 8\",\"pages\":\"11978-11992\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2025-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Vehicular Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10924674/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10924674/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Waveform Design for Moving Target Detection With FDA-MIMO Radar Exploiting Correlation and Doppler Tolerance Properties
This article investigates the problem of transmit waveform design in a Frequency Diverse Array (FDA)-Multiple-Input Multiple-Output (MIMO) radar for moving target detection against Doppler frequency shift and range ambiguity. In our system design, the FDA-MIMO radar is developed by transmitting designed phase-coded waveforms with a frequency increment between transmit antenna elements, which provides extra Degrees-Of-Freedom (DOFs) in the range-angle domains for target detection. In specific, for high-speed moving targets, an optimization problem is formulated to devise the phase-coded waveforms with low correlation properties under a constant modulus constraint as well as a similarity constraint involving a known radar waveform with good Doppler tolerance. To tackle such a non-convex optimization problem, the Majorization Minimization-Alternating Direction Method of Multipliers projection (MM-ADMM-projection) algorithm is developed in an iterative way, where an MM method is employed by constructing a series of surrogate functions to approximate the optimal solution. Furthermore, by introducing the ADMM method, each surrogate function is separated into linear and quadratic functions, where the constant modulus and similarity constraints are only imposed on the former. Then, a projection method is proposed to remove the non-convex constraints in the feasible region. In particular, the Conjugate Gradient (CG) method is implemented to reduce the computational burden, and the local convergence of the proposed method is proved. Numerical results are provided to demonstrate the effectiveness of the designed waveform in detecting moving target considering the range ambiguity.
期刊介绍:
The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.