ISAC constant modulus waveform design based on multi-target fair sensing

SHI Mingli; LI Xiaohui; LYU Siting

doi:10.11959/j.issn.1000-436x.2024173

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ISAC constant modulus waveform design based on multi-target fair sensing

Papers | 更新时间：2024-11-14

- ISAC constant modulus waveform design based on multi-target fair sensing
- Journal on Communications Vol. 45, Issue 10, Pages: 31-40(2024)
- 作者机构：
  
  西安电子科技大学通信工程学院，陕西西安 710071
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62376204)
- DOI：10.11959/j.issn.1000-436x.2024173
  CLC： TN92
- Received：18 June 2024，
  
  Revised：2024-08-28，
  
  Published：25 October 2024
- 稿件说明：
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石明利,李晓辉,吕思婷.基于多目标公平感知的通感一体化恒模波形设计[J].通信学报,2024,45(10):31-40.

SHI Mingli,LI Xiaohui,LYU Siting.ISAC constant modulus waveform design based on multi-target fair sensing[J].Journal on Communications,2024,45(10):31-40.
石明利,李晓辉,吕思婷.基于多目标公平感知的通感一体化恒模波形设计[J].通信学报,2024,45(10):31-40. DOI： 10.11959/j.issn.1000-436x.2024173.

SHI Mingli,LI Xiaohui,LYU Siting.ISAC constant modulus waveform design based on multi-target fair sensing[J].Journal on Communications,2024,45(10):31-40. DOI： 10.11959/j.issn.1000-436x.2024173.

摘要

为了同时实现通感一体化系统的通信和感知功能，针对多目标的公平感知和多用户符号的无错误传输问题，提出一种基于多目标公平感知的通感一体化恒模波形设计方法。该方法在考虑多用户数据符号无错误传输和波形恒模约束的前提下，建立联合波形和信号缩放因子优化的通感一体化波形设计模型。针对波形和信号缩放因子变量耦合的约束条件，利用交替优化算法进行处理。在优化波形子问题中，首先利用优化最小化算法获得原始子问题中目标照射功率和接收回波信噪比的非凸表达式的凸上界，然后利用交替方向乘子法处理发射波形的恒模约束。仿真结果表明，与最大化总目标照射功率和回波接收信噪比的波形设计方法相比，所提方法在仅损失3 dB回波信噪比的情况下，能够提升多目标感知公平性，并保证通信数据符号的无错误传输。

Abstract

To communicate and sense simultaneously in the integrated sensing and communication system

for the fair sensing of multiple targets and the error-free transmission of multi-user symbols

a ISAC constant modulus waveform design based on multi-target fair sensing was proposed. Considering the error free transmission of multi-user data symbols and the constant modulus constraint of waveform

an integrated sensing and communication waveform design model with joint waveform and signal scaling factor optimization was formulated. By using an alternate optimization algorithm

the coupling of waveform and signal scaling factor variables in constraint conditions was decoupled. The convex upper bounds of the non-convex expression of target illumination power and received echo SNR in the original sub-problem were obtained by the majorization-minimization algorithm

and then the constant modulus constraints for transmitted waveform was dealt with by the alternating direction method of multipliers algorithm. The simulation results show that compared with the waveform design method which maximizes the total target illumination power and the SNR of echo

the proposed waveform design method based on maximizing the minimum target illumination power only has a 3 dB performance loss of echo SNR. However

it can achieve better multi-target sensing fairness and realize error-free transmission of communication data symbols.

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Keywords

references

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