Deinterleaving Radar Pulse Trains with Sliding Time Windows

LIU Yan; GUO Fucheng

doi:10.11999/JEIT210982

Volume 44 Issue 11

Nov. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(11): 3900-3909

LIU Yan, GUO Fucheng. Deinterleaving Radar Pulse Trains with Sliding Time Windows[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3900-3909. doi: 10.11999/JEIT210982

Citation:

LIU Yan, GUO Fucheng. Deinterleaving Radar Pulse Trains with Sliding Time Windows[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3900-3909. doi: 10.11999/JEIT210982

LIU Yan, GUO Fucheng. Deinterleaving Radar Pulse Trains with Sliding Time Windows[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3900-3909. doi: 10.11999/JEIT210982

Citation:

LIU Yan, GUO Fucheng. Deinterleaving Radar Pulse Trains with Sliding Time Windows[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3900-3909. doi: 10.11999/JEIT210982

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Deinterleaving Radar Pulse Trains with Sliding Time Windows

doi: 10.11999/JEIT210982

LIU Yan^,,
GUO Fucheng

School of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds: The Provincial Innovation Research Group of Hunan(2019JJ10004)

Received Date: 2021-09-15
Accepted Date: 2022-03-10
Rev Recd Date: 2022-02-26

Available Online: 2022-03-21

Publish Date: 2022-11-14

Abstract

Abstract

In the surrounding electromagnetic space, there are a large number of interleaved radar pulse trains consisting of pulse sequences with fixed repetition intervals, such as ship-borne navigation radar signals, airborne pulse Doppler radar signals, etc. These pulse trains exist in the form of time segments, and electronic reconnaissance systems are unable to determine their starting and ending time in advance, which makes it difficult to estimate the repetition intervals and deinterleave the pulses of this kind of radar. This paper first analyzes the negative impact of the short duration of such pulse trains on the performance of traditional pulse deinterleaving methods, and then introduces the idea of sliding time window to weaken this impact. Based on this idea, this paper proposes a high-precision estimator of Pulse Repetition Intervals (PRI) and a pulse deinterleaving method. Simulation results verify the performance of the new method on PRI estimation and pulse deinterleaving.
- Pulse deinterleaving,
- Sliding time window,
- Pulse Repetition Interval (PRI) transform,
- PRI estimation

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References(27)

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