时间域压缩光束成型与先前信息为主动声纳单重建
Kaihui Zeng1, Shaofeng Zou1, Guolin Li2,3
1School of Integrated Circuits, Tsinghua University, Beijing 100084, China.
The Journal of the Acoustical Society of America
|October 22, 2025
概括
这项研究引入了一种新的时间域压缩束形状与先前信息 (TCBPI) 方法,用于主动声纳. TCBPI增强了目标反射场的重建,实现了超分辨率并有效地抑制了反响.
科学领域:
- 声学 声学 在声学上
- 信号处理 信号处理
- 海洋工程 海洋工程
背景情况:
- 准确的目标反射场重建对于主动声纳目标检测和识别至关重要.
- 传统的光束成形方法在单个ping重建中扎着有限的分辨率和反响干扰.
- 现有的方法往往无法在复杂的水下环境中提供高保真度的目标反射场.
研究的目的:
- 提出一种新的时间域压缩光束形成与先前信息 (TCBPI) 方法,用于一次性活跃声纳目标反射场的重建.
- 为了提高分辨率和减轻声纳成像中的反响干扰.
- 即使在具有挑战性的反响条件下,也可以实现准确的目标反射率重建.
主要方法:
- 开发了一种使用稀疏数据表示的时间域压缩束形状与先前信息 (TCBPI) 方法.
- 将先前的回声波形信息纳入传感矩阵,以获得范围和角度超分辨率.
- 提出了一种两阶段重权方法,用于适应性估计反响水平,并结合代重权.
主要成果:
- 在单静态主动声纳单重建中,TCBPI方法实现了范围超级分辨率和高角度分辨率.
- 证明有效的反响抑制,使准确的目标反射场重建成为可能.
- 使用模拟和海试数据验证的性能,显示了与传统方法相比的显著改进.
结论:
- TCBPI显著优于传统的束形和单一快照压缩束形,用于主动声纳单个ping重建.
- 拟议的方法为复杂的反响环境中高精度目标反射率场的重建提供了强大的解决方案.
- TCBPI为主动声纳目标检测和识别系统提供了宝贵的进步.
相关概念视频
Aliasing
562
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
562
Bandpass Sampling
470
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
470
Reconstruction of Signal using Interpolation
686
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
686
Linear Approximation in Time Domain
340
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
340
Double Resonance Techniques: Overview
696
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
Spin decoupling is usually achieved by...
696


