Interleaved Transceiver Design for a Continuous-Transmission MIMO-OFDM ISAC System

IF 5.5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-08-11 DOI:10.1109/TSP.2026.3722759
Yating Chen;Cai Wen;Yan Huang;Jinye Peng;Wei Hong;Timothy N. Davidson
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引用次数: 0

Abstract

This paper proposes an interleaved transmission architecture for a multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system that enables continuous data transmission while facilitating receiver processing reminiscent of pulse-based radar. A key feature of this architecture is that we can jointly design each transmitted ISAC block and its sensing filter to mitigate the high sidelobes that arise from the inter-block interference caused by targets at different ranges. We provide an exemplar of such a design in which constructive interference is integrated into the communication aspects, and the integrated mainlobe-to-sidelobe ratio (IMSR) of the beampattern is used to ensure desirable directivity of the sensing. In addition, the power of each time sample is constrained to manage the peak-to-average power ratio (PAPR). The joint transmitter-sensor design problem is addressed using an alternating optimization (AO) framework, with the subproblem for transmitted waveform design being solved via the successive convex approximation (SCA) method. To further enhance computational efficiency, the alternating direction penalty method (ADPM) is employed to solve the subproblems within the SCA iterations. The convergence of ADPM is established, with convergence of the case of more than two auxiliary variables being established for the first time. Numerical simulations validate the effectiveness of our proposed approach in achieving desirable performance in both radar sensing and communication, with the fast algorithm achieving comparable performance with greater computational efficiency.
连续传输MIMO-OFDM ISAC系统的交错收发器设计
本文提出了一种用于多输入多输出(MIMO)集成传感和通信(ISAC)系统的交错传输架构,该架构能够实现连续数据传输,同时促进接收器处理,使人联想到基于脉冲的雷达。该架构的一个关键特点是我们可以共同设计每个传输ISAC块及其传感滤波器,以减轻不同距离目标引起的块间干扰所产生的高副瓣。我们提供了这样一种设计的示例,其中将建设性干扰集成到通信方面,并且使用波束模式的集成主瓣副瓣比(IMSR)来确保理想的传感方向性。此外,每个时间样本的功率被约束以管理峰均功率比(PAPR)。采用交替优化(AO)框架解决了联合变送器-传感器设计问题,通过逐次凸逼近(SCA)方法解决了传输波形设计的子问题。为了进一步提高计算效率,采用交替方向惩罚法(ADPM)求解SCA迭代中的子问题。建立了ADPM的收敛性,首次建立了两个以上辅助变量情况下ADPM的收敛性。数值模拟验证了我们提出的方法在雷达传感和通信方面实现理想性能的有效性,快速算法以更高的计算效率实现了相当的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing 工程技术-工程:电子与电气
CiteScore
11.20
自引率
9.30%
发文量
310
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
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