Designing Sequence Set and Mismatched Filter Bank With Diagonal-Ridge-Type Doppler Tolerance via Relative Level Optimization

IF 4.6 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Tao Wang;Junli Liang;H. C. So;Hongwei Gao;Yongkang Li
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引用次数: 0

Abstract

To detect high-speed moving targets using multiple-transmitter systems, the transmit sequence set should possess Doppler tolerance performance similar to that of linear frequency modulated signal, characterized by a diagonal-ridge-type auto-ambiguity function (AF). Although they provide space and waveform diversities to enhance sensing performance compared to single-transmitter systems, the cross-AFs introduced by the multiple transmit sequences decrease the degrees-of-freedom (DOFs), and thus the sidelobe levels of both the auto- and cross- AFs are not sufficiently low. In this paper, we first establish the relative level (between AF sidelobe and mainlobe) -based fractional models to jointly design the transmit sequence set and mismatched filter bank with diagonal-ridge-type Doppler tolerance and low sidelobe AFs. Moreover, a novel similarity constraint between the sequence and mismatched filter is devised to flexibly adjust the receiver output loss. Together with the relative-level scheme, it also reduces the DOF loss incurred by the cross AFs. Furthermore, the resultant challenging sum-of-fraction formulations with nonlinear and nonconvex constraints are effectively tackled via fraction separation and decoupling. Finally, we extend our design to solve the joint design problem of sequence set and mismatched filter bank with low sidelobe level in correlation function. Numerical results demonstrate the excellent performance of the proposed methods.
通过相对电平优化设计具有对角线脊型多普勒容差的序列集和错配滤波器组
要利用多发射机系统探测高速移动目标,发射序列集应具有类似于线性频率调制信号的多普勒容差性能,其特征是对角线脊型自动模糊函数(AF)。虽然与单发射机系统相比,多发射机系统提供了空间和波形多样性以提高传感性能,但多发射序列引入的交叉自动模糊函数降低了自由度(DOFs),因此自动模糊函数和交叉自动模糊函数的侧叶电平都不够低。在本文中,我们首先建立了基于分数模型的相对水平(AF 边瓣和主瓣之间的相对水平),以联合设计具有对角线脊型多普勒容限和低边瓣 AF 的发射序列集和错配滤波器组。此外,还设计了序列与失配滤波器之间的新型相似性约束,以灵活调整接收器输出损耗。与相对级方案一起,它还能减少交叉自动变频造成的 DOF 损失。此外,我们还通过分数分离和解耦,有效地解决了由此产生的具有非线性和非凸约束的具有挑战性的分数总和公式。最后,我们对设计进行了扩展,以解决序列集和失配滤波器组的联合设计问题,并在相关函数中实现低边音水平。数值结果证明了所提方法的卓越性能。
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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