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| FDA-MIMO雷达的接收滤波器和1-bit波形联合设计 |
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Qiping Zhang1, 阮开智2,3, 郭靖4, 潘俊2, 吴杰5,6, 钟凯1, 胡进峰1,6
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1.电子科技大学信息与通信工程学院;2.自动目标识别全国重点实验室;3.上海机电工程研究所;4.复杂航空系统仿真重点实验室;5.电子科技大学资环学院;6.电子科技大学长三角研究院（衢州）
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| 摘要: |
| 发射波形和接收滤波器联合设计是提高频率分集阵列-多输入多输出（FDA-MIMO）雷达系统性能的关键技术之一。现有对FDA-MIMO雷达系统中发射波形的研究主要集中在连续相位波形的设计。然而，发射连续相位波形需要高分辨率的数模转换器，这不仅对硬件要求较高，也增加了系统成本。研究发现减少波形相位量化位数能显著降低对发射机硬件的要求，因此本文着重研究了FDA-MIMO雷达中1-bit相位波形与接收滤波器的联合设计问题。由于系统的干扰抑制和检测性能与信干噪比（SINR）密切相关，本文将该问题建模为一个最大化雷达系统SINR的联合设计问题。针对1-bit相位约束带来的求解难题，本文提出了一种基于交替优化（AO）框架的低复杂度算法。仿真结果表明，与已有方法相比所提方法在不牺牲性能的情况下实现了更快的收敛速度。 |
| 关键词: 频率分集阵列-多输入多输出雷达 离散相位波形 接收滤波器 交替方向乘子法 信干噪比 |
| DOI： |
| 分类号:TN958 |
| 基金项目:国家重点研发计划（2023YFF0717403）；自然科学基金（NO.62501112,62231006）；博士后基金（2025M773511）；衢州市政府（NO.2025K008,2024D005） |
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| Joint Design of Receive Filter and 1-bit Waveform for FDA-MIMO Radar |
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| Abstract: |
| Joint design of transmit waveforms and receive filters is a key technology for improving the performance of Frequency Diversity Array-Multiple Input Multiple Output (FDA-MIMO) radar systems. Existing research on transmit waveforms in FDA-MIMO radar systems primarily focuses on the design of continuous-phase waveforms. However, transmitting continuous-phase waveforms requires high-resolution digital-to-analog converters, which not only places high demands on hardware but also increases system cost. Research has found Research has found that reducing the number of waveform phase quantization bits significantly reduces transmitter hardware requirements. Therefore, this paper focuses on the joint design of 1-bit phase waveforms and receive filters in FDA-MIMO radars. Because the system's interference suppression and detection performance are closely related to the signal-to-interference-and-noise ratio (SINR), this paper models this problem as a joint design problem to maximize the SINR of the radar system. To address the challenges caused by the 1-bit phase constraint, this paper proposes a low-complexity algorithm based on the alternating optimization (AO) framework. Simulation results demonstrate that the proposed method achieves faster convergence speed than existing methods without sacrificing performance. |
| Key words: Frequency Diverse Array-Multiple Input Multiple Output Radar Discrete Phase Waveform Receive filter ADMM Signal-to-Interference-Noise Ratio |