Waveform Design for Netted Colocated MIMO Radar Systems With Practical Constraints

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Cai Wen;Xiang Zhang;Yan Huang;Zhanye Chen;Yating Chen;Yuyang Zhou
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引用次数: 0

Abstract

This article investigates the problem of transmit (Tx) waveform design for netted colocated multiple-input-multiple-output (MIMO) radar systems to enhance the performance of target detection under clutter or signal-dependent interference. In order to ensure hardware compatibility and good pulse compression performance, we consider optimizing the signal-to-clutter-and-noise ratio (SCNR) and waveform ambiguity behavior of each Tx node under the constant-modulus constraint. In addition, the spectrum of each transmitter is restricted to guarantee that the angular waveforms from different Tx nodes have low cross correlation levels. The resultant problem is a nonconvex optimization problem, which is hard to solve directly. Through an equivalent reformulation of the original problem, we propose an effective iteration method that involves solving a series of convexified subproblems. We further provide an approach to design a desired reference waveform. Finally, the performance of the proposed method is verified by numerical examples.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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