Gradient-based real-time radar pulse detection at low SNR

机译：低信噪比的基于梯度的实时雷达脉冲检测

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摘要

A new gradient mean based sub-windowed (GMSW) sequence is presented for the detection of radar pulse in a noisy wide band time domain environment. For detecting the signal accurately from the variable noise floor, a suitable threshold value is derived based on energy detection. First, the wide band time domain signal is divided into several sub-windowed sequences. Then the gradient mean of the sub-windowed sequence is computed and compared with the threshold to accurately differentiate the signal from noise. The proposed algorithm achieves high detection probability at low signal to noise ratio (SNR). The Algorithm is further simulated in both MATLAB and VDSP++ environment (BF533).

机译：提出了一种新的基于梯度均值的子窗口（GMSW）序列，用于在嘈杂的宽带时域环境中检测雷达脉冲。为了从可变底噪中准确地检测信号，基于能量检测得出合适的阈值。首先，宽带时域信号被分成几个子窗口序列。然后，计算子窗口序列的梯度平均值，并将其与阈值进行比较，以准确区分信号与噪声。所提出的算法在低信噪比（SNR）下实现了较高的检测概率。在MATLAB和VDSP ++环境（BF533）中对该算法进行了进一步仿真。

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来源
《Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking》|2016年|2156-2159|共4页
会议地点 Chennai(IN)
作者
R. Abinaya; V. Varsha; P.G.S. Velmurugan;
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作者单位

Electronics and communication engineering, Thiagarajar college of engineering, Madurai, Tamilnadu, India;

Electronics and communication engineering, Thiagarajar college of engineering, Madurai, Tamilnadu, India;

Electronics and communication engineering, Thiagarajar college of engineering, Madurai, Tamilnadu, India;

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原文格式 PDF
正文语种 eng
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关键词
Signal to noise ratio; Radar detection; MATLAB; Signal processing algorithms; Real-time systems; Noise measurement;

机译：信噪比;雷达检测; MATLAB;信号处理算法;实时系统;噪声测量;

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1. Detection performance enhancement for compressive sensing radar under low-SNR via pulse accumulation measurement matrix [J] . Tao Yu, Liu Chengyi, Zhang Jingya, Radar, Sonar & Navigation, IET . 2019,第10期

机译：低信噪比下的脉冲累积测量矩阵提高压感雷达的检测性能
2. Gradient-Based Real-Time Spectrum Sensing at Low SNR [J] . Koley Santasril, Mirza Vishal, Islam Saif, Communications Letters, IEEE . 2015,第3期

机译：低SNR的基于梯度的实时频谱感应
3. Real-time low-complexity automatic modulation classifier for pulsed radar signals [J] . Iglesias Victor, Grajal Jesus, Royer Pablo, Aerospace and Electronic Systems, IEEE Transactions on . 2015,第1期

机译：脉冲雷达信号的实时低复杂度自动调制分类器
4. Gradient-based real-time radar pulse detection at low SNR [C] . R. Abinaya, V. Varsha, P.G.S. Velmurugan International Conference on Wireless Communications, Signal Processing and Networking . 2016

机译：低SNR的基于梯度的实时雷达脉冲检测
5. An evaluation of wavelet-based, denoising techniques as applied to low SNR, LFMOP radar signal pulses [D] . Steinbrunner, Lori Ann 2000

机译：对基于小波的去噪技术的评估，该技术适用于低SNR，LFMOP雷达信号脉冲
6. Micropower Impulse Radar: A Novel Technology for Rapid Real-Time Detection of Pneumothorax [O] . Phillip D. Levy, Tracey Wielinski, Alan Greszler 2011

机译：微功率脉冲雷达：一种快速实时检测气胸的新技术
7. Micropower Impulse Radar: A Novel Technology for Rapid, Real-Time Detection of Pneumothorax [O] . Levy, Phillip D., Wielinski, Tracey, Greszler, Alan 2011

机译：微功率脉冲雷达：一种快速，实时检测气胸的新技术
8. Experimental Results: Detection and Tracking of Low SNR Sinusoids Using Real-Time LMS and RLS Lattice Adaptive Line Enhancers. [R] . Albert, T. R., Abusalem, H., Juniper, M. D. 1991

机译：实验结果：利用实时Lms和RLs格子自适应线增强器检测和跟踪低信噪比正弦波。

Gradient-based real-time radar pulse detection at low SNR

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