外辐射源雷达非零频杂波抑制方法

陈刚; 苏思元; 王俊; 靳一; 徐常志; 张萌; 付世伟

doi:10.11999/JEIT241018

外辐射源雷达非零频杂波抑制方法

doi: 10.11999/JEIT241018 cstr: 32379.14.JEIT241018

陈刚¹,
苏思元^2, ,,
王俊³,
靳一¹,
徐常志¹,
张萌²,
付世伟²

1.
中国空间技术研究院西安分院西安 710100
2.
浪潮电子信息产业股份有限公司济南 250101
3.
西安电子科技大学雷达信号处理全国重点实验室西安 710071

基金项目: 国家自然科学基金(61801377)；国家重点实验室稳定支持基金(HTKJ2023KL504005)

详细信息

作者简介:
陈刚：男，高级工程师，研究方向为外辐射源雷达干扰抑制与目标检测

苏思元：女，工程师，研究方向为外辐射源雷达杂波对消

王俊：男，教授，研究方向为外辐射源雷达信号处理与数据处理

靳一：男，研究员，研究方向为通信信号处理

徐常志：男，研究员，研究方向为通信信号处理

张萌：女，工程师，研究方向为通信信号处理

付世伟：男，工程师，研究方向为通信信号处理

通讯作者:
苏思元　susiyuan@inspur.com

中图分类号: TN958.97
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- 被引次数: 0
出版历程
- 收稿日期: 2024-11-13
- 修回日期: 2025-03-27
- 网络出版日期: 2025-04-23
- 刊出日期: 2025-06-30

Non-zero Frequency Clutter Cancellation Method for Passive Bistatic Radar

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)

摘要

摘要: 在外辐射源雷达系统中，不仅存在很强的直达波和零频多路径杂波，同时还存在非零频的杂波干扰。这些非零频杂波的多普勒频率具有很强的随机性，利用常规的杂波对消算法很难抑制掉。针对回波通道中的非零频杂波抑制问题，该文提出一种新的外辐射源雷达杂波抑制方法，在构建零频和非零频两种杂波子空间的基础上，建立新的代价函数并求解最优的杂波对消权值，实现零频和非零频杂波抑制。计算机仿真和实测数据分析表明，该方法在保持与现有方法相同杂波抑制性能的同时降低了杂波对消算法的运算量。
- 外辐射源雷达 /
- 非零频杂波 /
- 杂波抑制
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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图 1 FM信号波形和频谱

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图 2 不同算法处理结果对比

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图 3 对消结果对比

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图 4 杂波对消阶数和对消数据长度对对消时间的影响

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图 5 实验场景图

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图 6 实测数据验证结果

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表 1 接收通道信号参数信息

信号类型	信噪比(dB)	时延单元	多普勒频率(Hz)
直达波	40	0	0
零频多径1	20	10	0
零频多径2	18	50	0
零频多径3	16	80	0
零频多径4	15	120	0
零频多径5	12	150	0
非零频多径1	10	3	–3
非零频多径2	8	6	2
非零频多径3	9	8	4
非零频多径4	9	6	–2
目标回波1	–11	50	–200
目标回波2	–13	100	100
目标回波3	–10	150	50

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表 2 算法计算复杂度与非零频杂波对消阶数的关系

非零频杂波对消阶数C	100	200	300	400	500	600
扩展ECA算法复杂度	1.8027×10¹⁰	3.2064×10¹⁰	5.0125×10¹⁰	7.2216×10¹⁰	9.8343×10¹⁰	1.2851×10¹¹
所提算法复杂度	1.6069×10¹⁰	1.6096×10¹⁰	1.6135×10¹⁰	1.6192×10¹⁰	1.6273×10¹⁰	1.6384×10¹⁰

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