1. 中国人民解放军战略支援部队信息工程大学,河南,郑州,450001
2. 军事科学院系统工程研究院,北京,100141
3. 中国人民解放军战略支援部队信息工程大学,河南,郑州,450001
4. 军事科学院系统工程研究院,北京,100141
网络出版:2021-03-25,
纸质出版:2021
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姜宏志, 赵闯, 胡德秀, 等. 基于时差多参的单脉冲信号实时配对分选[J]. 电子学报, 2021,49(3):566-572.
JIANG Hong-zhi, ZHAO Chuang, HU De-xiu, et al. Real-time Deinterleaving Algorithm for Single Pulse Signal Based on TDOAs and Multi-parameter Information[J]. Acta Electronica Sinica, 2021, 49(3): 566-572.
姜宏志, 赵闯, 胡德秀, 等. 基于时差多参的单脉冲信号实时配对分选[J]. 电子学报, 2021,49(3):566-572. DOI: 10.12263/DZXB.20191316.
JIANG Hong-zhi, ZHAO Chuang, HU De-xiu, et al. Real-time Deinterleaving Algorithm for Single Pulse Signal Based on TDOAs and Multi-parameter Information[J]. Acta Electronica Sinica, 2021, 49(3): 566-572. DOI: 10.12263/DZXB.20191316.
现有的分选算法均或多或少地存在对复杂调制信号难以分选、分选正确率低、对低重频信号分选效果差以及实时性差等问题.本文针对以上问题,提出了一种基于多站时差和多参数信息联合的单脉冲信号实时分选方法.该方法首先引入时差窗,对多站接收到的脉冲信号进行粗配对,分别得到多个可能与主站单脉冲正确配对的"脉冲对"序列;然后,利用脉内多参数信息对"脉冲对"进行精确匹配,获得真实配对的"脉冲对",进而计算"脉冲对"对应的时差并得到"时差对"序列;最后,在误差容限内,依据时差的不变性,实现对单脉冲信号的实时分选.仿真结果表明,与现有算法相比,该算法能够对复杂脉间和脉内调制信号、超低重频信号甚至单脉冲信号进行有效分选,具有较高的分选正确率和较好的分选实时性.
The existing deinterleaving algorithms have some problems such as difficulty in sorting complex modulation signals
high false alarm or false dismissal rate
poor performance on low repetition frequency signals
and poor real-time performance. In order to solve the above problems
this paper proposes a real-time single pulse signal sorting method based on multi-stations time difference of arrival (TDOA) and multi-parameters information. Firstly
the time difference window is introduced to make rough pairing of pulse signals received by multi-stations to obtain multiple "pulse pair" sequences which may be correctly paired. Then
the "pulse pair" is accurately matched by intra-pulse parameters to obtain the true "pulse pair". Then
the time difference corresponding to the "pulse pair" is calculated and the "time difference pair" sequences are obtained. Finally
within the error tolerance
according to the invariance of time difference
the single pulse signal is sorted in real-time. The simulation results show that compared with the existing algorithms
the algorithm can effectively sort complex inter-pulse or intra-pulse modulated signals and low repetitive frequency signals
with extremely low false alarm
false dismissal rate and high correct sorting rate. At the same time
it is real-time.
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