The Frequency-Shifting Modulation of Radar Signal Using Active Van Atta Array

2019 ◽  
Author(s):  
Song Kunpeng ◽  
Feng Dejun
Keyword(s):  
Radar Signal ◽  
Frequency Shifting

scholarly journals Countering a Self-protection Frequency-shifting Jamming against LFM Pulse Compression Radars

2017 ◽  
Vol 63 (2) ◽  
pp. 145-150 ◽  
Author(s):  
S. Baher Safa Hanbali ◽  
Radwan Kastantin
Keyword(s):  
Pulse Compression ◽  
Radar Signal ◽  
True Target ◽  
Processing Gain ◽  
Before And After ◽  
A New Technique ◽  
Small Change ◽  
Pulse Compression Radar ◽  
Self Protection ◽  
Frequency Shifting

Abstract the well-known range-Doppler coupling property of the LFM (Linear Frequency Modulation) pulse compression radar makes it more vulnerable to repeater jammer that shifts radar signal in the frequency domain before retransmitting it back to the radar. The repeater jammer, in this case, benefits from the pulse compression processing gain of the radar receiver, and generates many false targets that appear before and after the true target. Therefore, the radar cannot distinguish between the true target and the false ones. In this paper, we present a new technique to counter frequency shifting repeater jammers. The proposed technique is based on introducing a small change in the sweep bandwidth of LFM waveform. The effectiveness of the proposed technique is justified by mathematical analysis and demonstrated by simulation.

scholarly journals Improved ISRJ-Based Radar Target Echo Cancellation Using Frequency Shifting Modulation

Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 46 ◽  
Author(s):  
Qihua Wu ◽  
Feng Zhao ◽  
Junjie Wang ◽  
Xiaobin Liu ◽  
Shunping Xiao
Keyword(s):  
Frequency Modulation ◽  
Sampling Frequency ◽  
Measured Data ◽  
Echo Cancellation ◽  
Radar Signal ◽  
Radar Target ◽  
False Target ◽  
Ingenious Method ◽  
Real Target ◽  
Frequency Shifting

Target echo cancellation is an ingenious method that protects the target of interest (TOI) from being detected by radar. Interrupted-sampling repeater jamming (ISRJ) is a novel deception jamming method for linear frequency modulation (LFM) radar countermeasures, which has been applied in target echo cancellation recently. Compared with the conventional cancellation method, not only can the target echo be successfully cancelled at radar receiver, but a train of false targets is also produced and forms deception jamming by applying the ISRJ technique. In this paper, an improved radar target echo cancellation method based on ISRJ is proposed that utilizes an extra frequency shifting modulation on the intercepted LFM radar signal. The jammer power is more efficiently utilized by the proposed method. Moreover, more flexible multi-false-target deception jamming can be obtained by adjusting the interrupted sampling frequency. The real target remains effectively protected by the false preceding target in the presence of amplitude mismatch of cancellation signal and target echo. Numerical simulations and measured data experiments are conducted to demonstrate the effectiveness of the proposed method.

Automotive Radars

2017 ◽  
Author(s):  
Sujeet Patole ◽  
Murat Torlak ◽  
Dan Wang ◽  
Murtaza Ali
Keyword(s):  
Signal Processing ◽  
Pedestrian Detection ◽  
Radar Signal ◽  
Automotive Radar ◽  
Estimation Algorithms ◽  
Radar Systems ◽  
Starting Point ◽  
Processing Techniques ◽  
Automotive Radars ◽  
Signal Processing Techniques

Automotive radars, along with other sensors such as lidar, (which stands for “light detection and ranging”), ultrasound, and cameras, form the backbone of self-driving cars and advanced driver assistant systems (ADASs). These technological advancements are enabled by extremely complex systems with a long signal processing path from radars/sensors to the controller. Automotive radar systems are responsible for the detection of objects and obstacles, their position, and speed relative to the vehicle. The development of signal processing techniques along with progress in the millimeter- wave (mm-wave) semiconductor technology plays a key role in automotive radar systems. Various signal processing techniques have been developed to provide better resolution and estimation performance in all measurement dimensions: range, azimuth-elevation angles, and velocity of the targets surrounding the vehicles. This article summarizes various aspects of automotive radar signal processing techniques, including waveform design, possible radar architectures, estimation algorithms, implementation complexity-resolution trade-off, and adaptive processing for complex environments, as well as unique problems associated with automotive radars such as pedestrian detection. We believe that this review article will combine the several contributions scattered in the literature to serve as a primary starting point to new researchers and to give a bird’s-eye view to the existing research community.

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