LFM Radar Convolution Jamming Suppression Based on Oblique Projection in FrFT Domain

Abstract

Abstract. Convolution false-targets jamming against LFM fire-control radars generates range and velocity false targets which are coherent with target echo, which increases the difficulty of jamming detection and suppression and makes the victim radar system lost the track of real target. To combat against this type of jamming, the uncorrelated characteristic between the jamming and echo in FRFT domain is discussed firstly. Thus, an oblique projection operator which is capable of suppress convolution false-targets jamming is built. The simulation results showed the operator have little effect on the echo and proved the effectiveness of this method.

Radar active oppressive interference suppression based on generative adversarial network

“…In order to effectively measure the performance of interference suppression methods, it is necessary to establish an evaluation criterion for interference suppression. We use the signal‐to‐interference‐plus‐noise ratio improvement factor (SINRIF) [7] as the evaluation index and then, based on that, define the evaluation criteria for interference suppression. The mathematical expression of SNIRIF is as follows: $$\begin{align*}\hfill & \mathrm{S}\mathrm{N}\mathrm{I}\mathrm{R}\mathrm{I}\mathrm{F}=10\,{\log }_{10}\left(\frac{\sum {\left\vert X(t)\right\vert }^{2}}{\sum {\left\vert \widehat{X}(t)-X(t)\right\vert }^{2}}\right)\hfill \\ \hfill & -10\,{\log }_{10}\left(\frac{\sum {\left\vert X(t)\right\vert }^{2}}{\sum {\left\vert S(t)-X(t)\right\vert }^{2}}\right),\hfill \end{align*}$$ where X ( t ) is the target signal, $$\widehat{X}(t)$$ is the recovered signal.…”

“…In order to effectively measure the performance of interference suppression methods, it is necessary to establish an evaluation criterion for interference suppression. We use the signal-to-interference-plus-noise ratio improvement factor (SINRIF) [7] as the evaluation index and then, based on that, define the evaluation criteria for interference suppression. The mathematical expression of SNIRIF is as follows: SNIRIF ¼ 10 log 10 And we calculate 10log10 {⋅} to obtain SNIRIF values in decibels.…”

“…Based on this process, an efficient and fast broadband interference suppression algorithm is implemented [6]. Wang et al also proposed a convolution interference suppression algorithm for linear frequency modulation (LFM) radar based on the oblique projection in FRFT domain [7]. Later, some researchers proposed the short-time fractional Fourier transform filtering (STFRFT) algorithm by combining STFT with FRFT [8].…”

Parameter Estimation of LFM Signal Based on Bayesian Compressive Sensing via Fractional Fourier Transform

“…The main shortcoming of this method lies in the time consuming computation of the Wigner-Ville Distribution Hough Transform (WVD-HT) [11]; in addition, the initial phase of the signal is lost during the transform, and therefore it cannot be estimated from the detection statistics. In recent years, a new time-frequency analysis tool-fractional Fourier transform [12]- [15] attracts more and more attention in signal processing society. In 1980, Namias first introduced the mathematical definition of the FRFT.…”