As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by th...As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by the problems of premature saturation and performance improving dilemma. This study proposes a dual fuzzy vigilance ART(DFV-ART) algorithm to address these problems and make the following improvements. Firstly, a correction method is introduced to prevent the network from prematurely saturating;then, the fuzzy vigilance models(FVM) are constructed to replace the conventional vigilance parameter, reducing the error probability in the overlapping region;finally, a dual vigilance mechanism is introduced to solve the performance improving dilemma. Simulation results show that the proposed algorithm could improve the clustering accuracy(quantization error dropped60%) and the de-interleaving performance(clustering quality increased by 10%) while suppressing the excessive proliferation of categories.展开更多
A modified DBSCAN algorithm is presented for deinterleaving of radar pulses in modern EW environments.A main characteristic of the proposed method is that using only time of arrival of pulses,the method can sort the p...A modified DBSCAN algorithm is presented for deinterleaving of radar pulses in modern EW environments.A main characteristic of the proposed method is that using only time of arrival of pulses,the method can sort the pulses efficiently.Other PDW information such as rise time,carrier frequency,pulse width,modulation on pulse,fall time and direction of arrival are not required.To identify the valid PRIs in a set of interleaved pulses,an innovative modification of the DBSCAN algorithm is introduced which is accurate and easy to implement.The proposed method determines valid PRIs more accurately and neglects the spurious ones more efficiently as compared to the classical histogram based algorithms such as SDIF.Furthermore,without specifying any input parameter,the proposed method can deinterleave radar pulses while up to 30%jitter is present in the associated PRI.The accuracy and efficiency of the proposed method are verified by computer simulations and real data results.Experimental simulations are based on different real and operational scenarios where the presence of missing and spurious pulses are also considered.So,the simulation results can be of practical significance.展开更多
在非合作接收场景中,对于一些特殊信号,在输出目标数据时会产生脉冲分裂现象,使得无法及时掌握目标真实参数。这是由于脉冲内部的幅度存在起伏,当信号到达接收设备时,同一脉冲幅度高的位置超过了接收设备灵敏度,幅度低的位置未达到灵敏...在非合作接收场景中,对于一些特殊信号,在输出目标数据时会产生脉冲分裂现象,使得无法及时掌握目标真实参数。这是由于脉冲内部的幅度存在起伏,当信号到达接收设备时,同一脉冲幅度高的位置超过了接收设备灵敏度,幅度低的位置未达到灵敏度造成的。针对这一问题,本文以脉内线性调频的雷达信号为例,深入分析了雷达脉冲分裂信号的内在规律,并在此基础上提出了分选与参数估计方法。本方法首先基于脉冲流的到达时间差分(differenceoftimeofarrival,DTOA)、频率(radiofrequency,RF)和脉冲宽度(pulse width, PW),利用双向长短时记忆网络(bidirectional long short-term memory,BLSTM),学习信号复杂的内在规律,提取多个参数之间的耦合关系,进而将属于同一目标的分裂脉冲从脉冲流中分选出来;再结合波形设计原理,基于分选后脉冲流的到达时间(time of arrival, TOA)、RF和PW,通过聚类和类间估计结果共享,反演得到雷达信号真实参数。仿真结果表明,本文所提的分选方法对于脉内线性调频的雷达脉冲分裂信号,具有极佳的分选效果;本文的参数估计方法,基于分选后的脉冲流数据,对原始信号斜率、RF、PW和PRI都有理想的估计结果。展开更多
基金supported by the National Natural Science Foundation of China(61571043)the 111 Project of China(B14010)。
文摘As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by the problems of premature saturation and performance improving dilemma. This study proposes a dual fuzzy vigilance ART(DFV-ART) algorithm to address these problems and make the following improvements. Firstly, a correction method is introduced to prevent the network from prematurely saturating;then, the fuzzy vigilance models(FVM) are constructed to replace the conventional vigilance parameter, reducing the error probability in the overlapping region;finally, a dual vigilance mechanism is introduced to solve the performance improving dilemma. Simulation results show that the proposed algorithm could improve the clustering accuracy(quantization error dropped60%) and the de-interleaving performance(clustering quality increased by 10%) while suppressing the excessive proliferation of categories.
文摘A modified DBSCAN algorithm is presented for deinterleaving of radar pulses in modern EW environments.A main characteristic of the proposed method is that using only time of arrival of pulses,the method can sort the pulses efficiently.Other PDW information such as rise time,carrier frequency,pulse width,modulation on pulse,fall time and direction of arrival are not required.To identify the valid PRIs in a set of interleaved pulses,an innovative modification of the DBSCAN algorithm is introduced which is accurate and easy to implement.The proposed method determines valid PRIs more accurately and neglects the spurious ones more efficiently as compared to the classical histogram based algorithms such as SDIF.Furthermore,without specifying any input parameter,the proposed method can deinterleave radar pulses while up to 30%jitter is present in the associated PRI.The accuracy and efficiency of the proposed method are verified by computer simulations and real data results.Experimental simulations are based on different real and operational scenarios where the presence of missing and spurious pulses are also considered.So,the simulation results can be of practical significance.
文摘在非合作接收场景中,对于一些特殊信号,在输出目标数据时会产生脉冲分裂现象,使得无法及时掌握目标真实参数。这是由于脉冲内部的幅度存在起伏,当信号到达接收设备时,同一脉冲幅度高的位置超过了接收设备灵敏度,幅度低的位置未达到灵敏度造成的。针对这一问题,本文以脉内线性调频的雷达信号为例,深入分析了雷达脉冲分裂信号的内在规律,并在此基础上提出了分选与参数估计方法。本方法首先基于脉冲流的到达时间差分(differenceoftimeofarrival,DTOA)、频率(radiofrequency,RF)和脉冲宽度(pulse width, PW),利用双向长短时记忆网络(bidirectional long short-term memory,BLSTM),学习信号复杂的内在规律,提取多个参数之间的耦合关系,进而将属于同一目标的分裂脉冲从脉冲流中分选出来;再结合波形设计原理,基于分选后脉冲流的到达时间(time of arrival, TOA)、RF和PW,通过聚类和类间估计结果共享,反演得到雷达信号真实参数。仿真结果表明,本文所提的分选方法对于脉内线性调频的雷达脉冲分裂信号,具有极佳的分选效果;本文的参数估计方法,基于分选后的脉冲流数据,对原始信号斜率、RF、PW和PRI都有理想的估计结果。
