DSSS中基于DCFT和FRFT的多分量LFM干扰抑制方法

文章提出了一种直扩系统DSSS中抑制多分量线性调频干扰LFM的方法。首先利用DCFTDiscrete Chirp Fourier Transform对接收信号进行变换,在DCFT域通过峰值搜索估计出各LFM分量的调频率li,进而得到进行分数阶傅立叶变换所需的旋转角度αi。然后在分数阶傅立叶域利用级联的陷波器进行干扰抑制。仿真结果表明此方法能有效抑制多分量LFM干扰,与其它基于二维时频分析工具的干扰抑制算法相比,不仅减少了运算量,而且对强干扰有较好的抑制效果。     

DSSS中基于DCFT和FRFT的多分量LFM干扰抑制方法

文章提出了一种直扩系统（DSSS）中抑制多分量线性调频干扰（LFM）的方法。首先利用DCFT（Discrete Chirp-Fourier Transform）对接收信号进行变换,在DCFT域通过峰值搜索估计出各LFM分量的调频率li,进而得到进行分数阶傅立叶变换所需的旋转角度ai。然后在分数阶傅立叶域利用级联的陷波器进行干扰抑制。仿真结果表明此方法能有效抑制多分量LFM干扰,与其它基于二维时频分析工具的干扰抑制算法相比,不仅减少了运算量,而且对强干扰有较好的抑制效果。     

基于新型DFrFT的LFM信号参数估计算法

针对传统算法对高调频率线性调频(linear frequency modulation,LFM)信号进行参数估计时误差较大的问题,提出了一种基于新型离散分数阶傅里叶变换(discrete fractional Fourier transform,DFrFT)的LFM信号参数估计算法.新型DFrFT在传统离散算法的基础上...     

一种有效的CFCR域LFM信号分析方法

为了解决现代电子战领域中无延迟的线性调频信号分析方法计算量大,以及低信噪比情况下抗噪性能和估计精度不理想的问题,提出了一种有效的无延迟线性调频信号分析方法。所提算法通过利用局部尺度傅里叶变换和傅里叶变换,将线性调频信号变换到中心频率-调频率的二维域中。在中心频率-调频率域中,线性调频信号的能量得到有效积累,形成易于检测的尖峰。通过检测尖峰坐标,得到信号参数的估计值。为了提高估计精度和降低计算量,采用了双尺度估计策略。仿真结果验证了低信噪比情况下,该算法具有良好抗噪性能和估计精度,并且所提算法计算量小,易于实现。     

Rejection of Linear FM Interference in DSSS System Based on Fractional Fourier Transform

A new method for the rejection of linear frequency modulation (LFM) interference in direct sequence spread spectrum (DSSS) system based on the fractional Fourier transform is proposed, and the configuration of the receiver with an interference exciser is also presented. Based on the property that the fractional Fourier transform of a signal is equivalent to rotating the signal in the time-frequency plane, the received signal is transform into a certain fractional Fourier domain, this transform will result in the least spectrum overlap between the signal and interference. Then, a narrowband filter is exploited to extract most of the interference energy. The performance analyses show that remarkable improvements in signal-to-noise ratio (SNR) and biterror-ratio (BER) are obtained.     

Anti-jamming algorithm for spread spectrum communication using blind source separation

An improved anti-jamming algorithm for spread spectrum communication based on blind source separation (BSS) is proposed to solve the problem that the separation performance of BSS technology deteriorates at a low signal-to-noise ratio (SNR), especially at the threshold SNR of spread spectrum communication. First, the algorithm detects the ambiguity of the output of the blind source separation algorithm, and then uses the detection result to correct the separation matrix. Finally, the new separation matrix is obtained by accumulating a plurality of modified matrices, and applied to the jamming separation of the system. The algorithm has a simple structure and can realize anti-jamming communication of the spread spectrum system at the demodulation threshold. Simulation results show that the demodulation error performance of the communication signal after removing the jamming by the algorithm at a negative SNR is still close to the theoretical performance.     

基于Laguerre变换的线性调频信号检测

提出了一种基于Laguerre变换的线性调频信号检测新方法，通过恰当设定Laguerre参数，能够对消线性调频信号的频率变化，得到一个近似周期的信号。由于线性调频信号的能量集中到一条谱线(frequency bin)上，因此能在低信噪比下实现有效检测，仿真实验证明了这种方法的有效性。     

对线性调频雷达的锯齿波加权调频干扰

根据线性调频雷达发射信号的特点,提出一种新的应答式干扰技术——锯齿波加权调频干扰,即干扰机对接收到的雷达照射信号附加锯齿波频率调制,将调频结果放大之后转发出去。根据调制参数不同,这种干扰可以灵活产生假目标欺骗和覆盖干扰两种效果。锯齿波加权调频干扰信号与雷达照射信号具有相似的频域特性,因此它能够利用脉冲压缩处理增益,降低干扰功率要求。     

Propagator method for multiple-parameter estimation of LFM signal for conformal array antenna

A multiple parameter estimation method for the LFM signal for the conformal array antenna is presented. By employing the energy focusing property of certain-ordered-FRFT to the LFM signal, multiple components blended in received data are separated in the FRFT domain, and hence the simplified data model is acquired, because of which the complicated parameter match is avoided, and then the DOA and polarization estimation is performed by using the PM algorithm. Benefiting from the avoiding of parameter matching and high dimensional eigen-value decomposition, the complexity and computational burden of the algorithm is remarkably controlled. Simulation results show that the proposed algorithm has an approximate performance with a much lower computation burden than ESPRIT.     

利用调频率匹配的DRFM欺骗干扰检测方法

针对转发式线性调频(LFM)有源欺骗干扰的检测问题,提出了基于干扰信号谐波分量调频率匹配的检测方法．数字射频存储器存在谐波效应特性,该方法通过分析干扰信号的频谱特征规律,建立谐波分量调频率参数库．在雷达距离门内同时存在目标回波和干扰信号的情形下,利用分数阶傅里叶变换检测雷达回波中LFM信号分量并估计其调频率,通过与参数库进行匹配分析,实现干扰信号的检测．仿真结果验证了该方法的有效性．     

一种适用于认知超宽带的CUSUM频谱感知算法

提出了一种新的认知超宽带频谱感知算法,该算法适合检测低平均信噪比、低占空比的超宽带脉冲信号,且具有复杂度低、检测延迟性能优越的特点.论文根据超宽带脉冲信号特性,给出形式统一的低占空比接收信号概率密度函数表达式,并采用累加和(CUSUM)算法实施检测.仿真结果表明,该算法对低占空比信号具有良好的适应性,有效克服了能量检测的信噪比门限效应,且检测延迟性能优越.     

Intermittent Clutter Removal Approach for Wind Profiler Data Based on Fractional Fourier Transform

Through the analysis of the target characteristics and according to the intermittent clutter bursting and short duration characteristics, a new method for the clutter recognition based on the fractional Fourier transform (FRFT) is proposed. This method is predicated on the fact that the FRFT perfectly localizes a chirp signal as an impulse when the angle parameter of the transform matches the chirp rate of the chirp signal. The method involves detecting the presence of the intermittent clutter and correctly estimating its orientation in the time-frequency plane, removing the intermittent clutter in the fractional domain, and completing wind estimation by the power spectrum. By testing the artificial WPR-like signal and data measured from the field, we verify that the FRFT-based method is very effective.     

Intermittent Clutter Removal Approac for wind Profiler Data Based on Fractional Fourier Transform

Through the analysis of the target characteristics and according to the intermittent clutter bursting and short duration characteristics, a new method for the clutter recognition based on the fractional Fourier transform (FRFT) is proposed. This method is predicated on the fact that the FRFT perfectly localizes a chirp signal as an impulse when the angle parameter of the transform matches the chirp rate of the chirp signal. The method involves detecting the presence of the intermittent clutter and correctly estimating its orientation in the time-frequency plane, removing the intermittent clutter in the fractional domain, and completing wind estimation by the power spectrum. By testing the artificial WPR-like signal and data measured from the field, we verify that the FRFT-based method is very effective.     

New Technique for Estimating and Suppressing Narrowband Interference in DSSS Systems

A generalized approach for narrowband interference （NBI） suppression in direct sequence spread spectrum （DSSS） communication systems using adaptive infinite impulse response （IIR） filter is presented. The excision filter coefficients depend on both the jammer power and its instantaneous frequency. The dependency of the filter construction on the jammer power is significant as it allows optimal tradeoff between interference removal and signal distortion by maximizing the receiver signal to noise ratio improvement（SNRI）. Instead of traditional adaptive line enhancer （ALE） estimator, a preferable NBI estimator-Fourier interpolation estimator （FIE） is proposed. Closed-form expressions of the SNR improvement and theoretical bit error rate （BER） based on the assumption that the output of the correlator is Gaussian distributed are both derived. Performance results obtained by numerical simulation are also presented and compared with theoretical results.     

New smart noise jamming of radar signal frequency modulation

A new frequency modulation smart noise jamming technique is proposed against the radar linear frequency modulation(LFM) signal and pulse compression processing.The jamming signal is acquired by modulating the received radar signal frequency with gause white noise.It can produce frequency domain deceptive jamming and Doppler frequency narrowband noise jamming according to the gause white noise bandwidth.This smart noise jamming signal has much correlation with the radar signal, can get a high pulse compression gain after matched filtering and raising the jamming power efficiency.     

改进的三次相位函数法LFM雷达信号参数估计

为了研究对线性调频(LFM)雷达信号的参数估计,提出了利用改进的三次相位函数法对LFM雷达信号进行参数估计.三次相位函数法可提取信号的相位函数的各项系数,并且只需通过二阶非线性变换在信号参数空间形成最大值来进行估计参数,具有较高的精度和良好的低信噪比能力,但是计算量较大.针对三次相位函数法计算量大的问题,提出调频斜率搜索范围设定准则及双尺度调频斜率搜索法,可减少大量计算量,同时保持了低信噪比下的算法精度.仿真测试结果表明,新算法有效地减小了计算量,并且保证了低信噪比下的算法精度,算法性能得到了提高.     

基于FRFT的LFM信号的检测及其参数估计

针对LFM信号的检测及参数估计等问题,先对现有的检测方法如Wigner-Ville、FRFT等进行研究,在FRFT变换的基础上提出基于预判法与FRFT变换相结合的算法。通过仿真分析,验证了该方法能有效对L F M信号的参数进行估计,同时降低了计算量。     

基于FRFT滤波的SNCK通信系统接收方法

正弦型非线性切普键控（sine non linear chirp keying,SNCK）作为一种非线性调频方法,其已调信号缺乏有效的滤波技术,针对此问题,提出了一种将SNCK已调信号波形样本近似为分段线性调频信号进行分数阶傅里叶变换的处理方法.推导了采用SNCK调制参数计算相应FRFT变换阶数的公式,并给出了通信系统采用SNCK信号进行传输时,接收端采用FRFT方法进行前置滤波的框图.通过数值仿真分析验证了该方法对SNCK各调制参数的普遍适用性,能有效提高接收信号的信噪比改善因子,降低通信误码率.     

Detection of T-wave Alternans in ECG Signals Using FRFT and Tensor Decomposition

T-wave alternans(TWA) refers to the periodic beat-to-beat variation in the amplitude of T-wave in the electrocardiogram(ECG) signal in an ABAB-pattern. TWA has been proven to be a very important indicator of malignant arrhythmia risk stratification. A new method to detect TWA by combining fractional Fourier transform(FRFT) and tensor decomposition is proposed.First, the T-wave vector is extracted from the ECG of each heartbeat, and its FRFT amplitudes at multiple orders are arranged to form a T-wave matrix. Then, a third-order tensor is composed of Twave matrices of several consecutive heart beats. After tensor decomposition, projection matrices are obtained in three dimensions. The complexity of the projection matrix is measured by Shannon entropy to obtain feature vector to detect the presence of TWA. Results show that the sensitivity,specificity, and accuracy of the algorithm on the MIT-BIH database are 91.16%, 94.25%, and92.68%, respectively. This method effectively utilizes the fractional domain information of ECG,and shows the promising potential of the FRFT in ECG signal processing.     

FRFT域LFM雷达回波信号的压缩采样模型

针对宽带雷达线性调频信号(Linear Frequency Modulated,LFM)带宽大、采样率高、存储容量要求高的问题,设计了一种基于压缩感知的 LFM雷达回波信号的欠采样整体方案。首先,利用 LFM信号在分数阶傅里叶变换(FRactional Fourier Transform,FRFT)域上良好的能量聚集特点,提出了一种基于DFRFT核矩阵的正交基字典构造方法,在此基字典的基础上利用随机解调器和匹配追踪类算法构建了一个 LFM雷达回波信号的压缩采样和重构系统模型。仿真结果验证了 FRFT域处理 LFM雷达回波信号的可行性和有效性,LFM雷达信号在该正交基字典上的稀疏表示效果要优于现有的波形匹配字典,而且具有更好的抗噪性能和自适应性能。