Non-zero Frequency Clutter Cancellation Method for Passive Bistatic Radar

CHEN Gang; SU Siyuan; WANG Jun; JIN Yi; XU Changzhi; ZHANG Meng; FU Shiwei

doi:10.11999/JEIT241018

Volume 47 Issue 6

Jun. 2025

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Article Navigation > Journal of Electronics & Information Technology > 2025 > 47(6): 1704-1711

CHEN Gang, SU Siyuan, WANG Jun, JIN Yi, XU Changzhi, ZHANG Meng, FU Shiwei. Non-zero Frequency Clutter Cancellation Method for Passive Bistatic Radar[J]. Journal of Electronics & Information Technology, 2025, 47(6): 1704-1711. doi: 10.11999/JEIT241018

Citation:

CHEN Gang, SU Siyuan, WANG Jun, JIN Yi, XU Changzhi, ZHANG Meng, FU Shiwei. Non-zero Frequency Clutter Cancellation Method for Passive Bistatic Radar[J]. Journal of Electronics & Information Technology, 2025, 47(6): 1704-1711. doi: 10.11999/JEIT241018

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Non-zero Frequency Clutter Cancellation Method for Passive Bistatic Radar

doi: 10.11999/JEIT241018 cstr: 32379.14.JEIT241018

1.
China Academy of Space Technology, Xi’an branch, Xi’an 710100, China
2.
Inspur Electronic Information Industry Co., Ltd., Jinan 250101, China
3.
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61801377), The State Key Laboratory Stability Support Fund (HTKJ2023KL504005)

Received Date: 2024-11-13
Rev Recd Date: 2025-03-27

Available Online: 2025-04-23

Publish Date: 2025-06-30

Abstract

Abstract

Objective and Methods In passive bistatic radar systems, in addition to strong direct-path signals and zero-frequency multipath signals, non-zero frequency clutter echoes are also present. The conventional method is ineffective in removing these non-zero frequency clutter signals due to their strong randomness. To address this issue, several algorithms, such as the Extensive Cancellation Algorithm (ECA) and the Extensive Cancellation Algorithm by subCarrier (ECA-C), have been proposed. However, these methods have limitations in terms of computational cost and signal applicability. To overcome these challenges, this paper proposes a novel clutter cancellation method for passive bistatic radar. First, two types of clutter subspaces are constructed: the conventional clutter subspace and the extended clutter subspace. By designing and solving a new cost function, the optimal clutter cancellation weight factor is derived. The clutter signals, including non-zero frequency components, are then removed. Residual clutter signals are further suppressed through range-Doppler processing. Simulation analysis and real-data applications demonstrate that the proposed method reduces computational complexity while maintaining effective clutter cancellation performance. Results and Discussions As shown in Fig. 2(a), the main lobe of the weak target echo is obscured by the sidelobes of strong clutter signals, preventing target detection. The noise platform level is 0.98 dB. In Fig. 2(b), although the direct-path and zero-frequency clutter are suppressed using the conventional method, the target echo remains undetectable due to non-zero frequency clutter. The noise platform level is –28.85 dB, representing a reduction of approximately 28 dB in the detection platform. In contrast, Fig. 2(c) and Fig. 2(d) show that the target is detected when applying the extended ECA method and the proposed method, as the direct-path signal, zero-frequency clutter, and non-zero frequency clutter are effectively removed. The noise platform level is –43.6 dB, indicating a further reduction of approximately 15 dB compared with the conventional method. The clutter cancellation time for both methods increases with the clutter cancellation order and data length. However, the processing time growth of the extended ECA method is greater than that of the proposed method in both cases (Fig. 4). Validation using real data confirms that both targets are detected using the extended ECA method and the proposed method, as both effectively mitigate the effects of non-zero frequency clutter compared with the conventional method (Fig. 6). The processing time of the proposed method (13.56 s) is shorter than that of the extended ECA method (21.73 s). The results from real data further confirm the effectiveness of the proposed method. Conclusions This study proposes a new method for addressing the non-zero frequency clutter cancellation problem. In this approach, both the conventional clutter subspace and the extended clutter subspace are constructed. A new cost function is then designed and solved to achieve cancellation of both zero and non-zero frequency clutter. Residual clutter signals are further suppressed through range-Doppler processing. The performance of the proposed method is validated and compared with the extended ECA method through simulation results. Additionally, real-data applications confirm its effectiveness. This method effectively transforms high-order matrix operations into two low-order matrix operations, thereby reducing computational complexity. In practical applications, as the order of the clutter cancellation step increases, the computational advantage of the proposed method over the extended ECA method becomes more pronounced.
- Passive bistatic radar,
- Non-zero frequency clutter,
- Clutter cancellation

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References(15)

References

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