Range side-lobe suppression method via CMR for pulse compression LPI waveform

2015 ◽  
Author(s):  
Luo Meifang Luo Meifang ◽  
Cao Lanying Cao Lanying ◽  
Hao Zhimei Hao Zhimei
Keyword(s):  
Pulse Compression ◽  
Side Lobe ◽  
Suppression Method ◽  
Side Lobe Suppression

scholarly journals A Side-Lobe Suppression Method Based on Coherence Factor for Terahertz Array Imaging

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 5584-5588 ◽  
Author(s):  
Yanwen Jiang ◽  
Yuliang Qin ◽  
Hongqiang Wang ◽  
Bin Deng ◽  
Kang Liu ◽  
...  
Keyword(s):  
Side Lobe ◽  
Coherence Factor ◽  
Suppression Method ◽  
Array Imaging ◽  
Side Lobe Suppression

scholarly journals An Efficient Destructive Interference Based on Side Lobe Suppression Method in SONAR Beamforming

2021 ◽  
Vol 16 (1) ◽  
pp. 107-120
Author(s):  
S. Pillai ◽  
T. Santhanakrishnan ◽  
R. Rajesh
Keyword(s):  
Side Lobe ◽  
Beam Pattern ◽  
Primary Beam ◽  
Main Lobe ◽  
Destructive Interference ◽  
Rectangular Window ◽  
Window Functions ◽  
Suppression Method ◽  
Beamforming Technique ◽  
Side Lobe Suppression

A novel beamforming technique that resembles the principle of interference is proposed for sonar arrays to suppress the side lobes while the main lobe is kept intact. It uses two window functions. The first one is a rectangular function that produces a primary beam pattern. A secondary new window function is derived and its beam pattern is steered such that the null or trough of the main lobe of the new window coincides with the peak or crest of the first side lobe of the rectangular window and so on to other major side lobes. Pattern multiplication was used to get a final beam pattern. The approach is simulated and verified through a sonar array with 24 hydrophone sensors.

scholarly journals A Novel Interference Suppression Method for Interrupted Sampling Repeater Jamming Based on Singular Spectrum Entropy Function

Sensors ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 136 ◽  
Author(s):  
Yu ◽  
Dong ◽  
Duan ◽  
Liu
Keyword(s):  
Pulse Compression ◽  
Interference Suppression ◽  
Singular Spectrum Analysis ◽  
Average Energy ◽  
Side Lobe ◽  
Entropy Function ◽  
Entropy Model ◽  
Digital Radio ◽  
Singular Spectrum ◽  
Suppression Method

As a new type of jamming, the interrupted sampling repeater jamming (ISRJ) derived from the digital radio frequency memory (DRFM) technology, can generate coherent multiple false targets after pulse compression. At present, the traditional interference suppression method and its improved methods have insufficient characteristics and poor detection performance under the condition of low signal-to-noise ratio (SNR). Aiming at addressing this defect, this paper proposes an interference suppression method for ISRJ based on singular spectrum entropy function (SSEF) from the aspects of singular value decomposition (SVD) and information entropy theories. In this method, firstly, considering the local fine characteristics and extraction efficiency, an adaptive multi-scale segmentation (AMS) method is proposed. The purpose of this processing is to extend the salient characteristics while to smooth the similar ones. In AMS, the segmentation criterion based on average energy of segments and the constraint of minimum segmentation is also proposed, then the improved delay embedded matrix is established from the improved trajectory matrix by AMS and delay embedded mapping. Secondly, the singular spectrum of the improved delay embedded matrix is extracted by SVD. Thirdly, because the recognition algorithms based on singular spectrum analysis (SSA), classical SSE and other characteristics fail at low SNR, this paper proposes a characteristic named as SSEF retrieved from the Shannon entropy model. The following proposed entropy-based threshold detection is carried out on the echo signal to realize the band-pass filtering and interference suppression. Finally, experiment results show that in comparison with other interference suppression approaches, SSEF can increase the probability of target detection and the peak-to-side-lobe ratio (PSR) after pulse compression, which validates its stability to noise and jamming especially in the condition of low SNRs.

Study of SAR Side-lobe Suppression Based on Compressed Sensing

2011 ◽  
Vol 32 (12) ◽  
pp. 3022-3026 ◽  
Author(s):  
Bo Kou ◽  
Hai Jiang ◽  
Lei Liu ◽  
Bing-chen Zhang
Keyword(s):  
Compressed Sensing ◽  
Side Lobe ◽  
Side Lobe Suppression

scholarly journals Optimization of two-stage NLFM signal using Heuristic approach

2020 ◽  
Vol 13 (44) ◽  
pp. 4465-4473
Author(s):  
Chandu Kavitha ◽  
Keyword(s):  
Optimization Algorithm ◽  
Frequency Modulation ◽  
Pulse Compression ◽  
Piecewise Linear ◽  
Side Lobe ◽  
Linear Frequency Modulation ◽  
Main Lobe ◽  
Design And Optimization ◽  
Linear Frequency ◽  
Scripting Language

Background/Objectives: The design of appropriate Non-Linear Frequency Modulation (NLFM) signals continues to be the focus of research in radar pulse compression theory for sidelobe reduction. This study focuses on a heuristic design and optimization algorithm to optimize the side lobe values of the NLFM signal designed using two-piece wise linear frequency modulation (LFM) functions. Methods: 1) Heuristic search identifies the optimum B1, T1, and B2, T2, which yield the lowest sidelobe value of the designed function.2) Compute all the side lobe values of the designed NLFM signal using an algorithm developed in Python scripting language. To plot a complete contour map for all the calculated side lobe values, which helps identify the associated variations in the range of side lobe values. Finally, optimize the side lobe values keeping the main lobe width and time-bandwidth (BT) product unchanged by designing a dynamic optimization algorithm. Findings: The algorithm developed considered all side lobe levels after the main lobe for optimization. The focus is mainly on the peak sidelobe ratio (PSLR) value without affecting the other parameters. The results demonstrate that the achieved side lobes exhibit their desired levels. Novelty: The method is useful in all types of hardware associated with weather radar applications to military solutions. The technique can be extended to other multistage signals consisting of piecewise linear Segments. Keywords: Contour; LFM; NLFM; optimization; PSLR

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