Robust Joint Accumulation and Detection for Discrete Frequency Coded Waveform Signals at Low Signal-to-Noise Ratio

WEI Song; ZHANG Lei; MA Yan; ZHONG Weijun

doi:10.11999/JEIT211619

Volume 45 Issue 3

Mar. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(3): 977-986

WEI Song, ZHANG Lei, MA Yan, ZHONG Weijun. Robust Joint Accumulation and Detection for Discrete Frequency Coded Waveform Signals at Low Signal-to-Noise Ratio[J]. Journal of Electronics & Information Technology, 2023, 45(3): 977-986. doi: 10.11999/JEIT211619

Citation:

WEI Song, ZHANG Lei, MA Yan, ZHONG Weijun. Robust Joint Accumulation and Detection for Discrete Frequency Coded Waveform Signals at Low Signal-to-Noise Ratio[J]. Journal of Electronics & Information Technology, 2023, 45(3): 977-986. doi: 10.11999/JEIT211619

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Robust Joint Accumulation and Detection for Discrete Frequency Coded Waveform Signals at Low Signal-to-Noise Ratio

doi: 10.11999/JEIT211619

1.
School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
2.
Beijing Institute of Tracking Telemetry and Telecommunication, Beijing 100094, China
3.
Xi’an Satellite Control Center, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (62101603)

Received Date: 2021-12-31
Accepted Date: 2022-06-08
Rev Recd Date: 2022-05-10

Available Online: 2022-06-13

Publish Date: 2023-03-10

Abstract

Abstract

In the radar electronic reconnaissance environment, the Discrete Frequency Coded (DFC) waveform signals emitted by non-cooperative targets with low probability of interception and anti-interference is hard to be accumulated and detected under low Signal-to-Noise Ratio (SNR) conditions. Consequently, a joint accumulation and detection algorithm is proposed in this paper. First, correlated accumulation and incoherent accumulation are jointly used to obtain signal envelopes from low SNR environments. Then, the bi-directional Constant False Alarm Rate (CFAR) threshold and pulse edge decision criteria are used to detect pulses and estimate accurate time of arrival and pulse width. Compared with conventional algorithms, the proposed algorithm could realize the accurate detection of discrete frequency coded waveform signals without any prior information, with low detection false alarm rate and good robustness. Simulation experiments verify the effectiveness and robustness of the algorithm in this paper.
- Pulse detection,
- Parameter estimation,
- Correlated accumulation,
- Constant False Alarm Rate (CFAR),
- Discrete Frequency Coded (DFC) signal

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References(18)

References

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