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Research on Co-channel Interference Suppression Method for Passive Radar Based on the Jiont Processing of Primary and Reference Channels
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摘要: 基于民用通信信号的无源雷达由于其辐射源分布密集，主通道与参考通道容易同时受同频辐射源干扰，严重影响检测效果。针对上述问题，该文提出了一种加入同频干扰抑制的信号处理流程。改进流程首先对所有通道接收信号联合处理，使用多通道盲反卷积算法估计各个辐射源直达波，再利用各通道主辐射源信号能量占比差异识别主辐射源直达波作为参考信号，然后对主通道中各辐射源杂波信号进行对消，最后用主辐射源直达波与对消剩余信号进行互模糊运算，完成目标检测。改进流程可以在不改变现有系统硬件条件的情况下有效抑制同频干扰，提升对消比，降低互模糊函数底噪，减少漏警。仿真分析与实测数据验证说明了该方法的正确性和有效性。Abstract: The illuminators of passive radar based civil communication signals are densely distributed. As a result, the co-channel illuminator always interferes with the primary and reference channels, resulting in poor detection performance. To solve the aforementioned problem, an improved signal processing flow with co-channel interference suppression is proposed in this paper. First, signals from all channels were processed jointly. The direct-path wave of each illuminator was estimated using the multi-channel blind deconvolution algorithm. Then, the direct-path wave of the primary illuminator was identified as the reference signal by applying the difference in the proportion of the primary illuminator signal energy among channels. Then, the clutter of each illuminator in the primary channel was suppressed by utilizing each of the above estimated signals. Finally, the residual signal, after cancellation, was used to compute the cross-ambiguity functions with the identified direct-path wave of the primary illuminator for target detection. The improved flow can promote the cancellation ratio and reduce the bottom noise of the cross-ambiguity function and missed alarm. Co-channel interference can be effectively suppressed using the improved processing flow without changing the radar system’s hardware. The validity of the proposed method were confirmed by the results of the simulation and experiment.
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图 2 多通道盲反卷积算法示意图
Figure 2. Schematic diagram of multi-channel blind deconvolution algorithm
图 4 处理结果(互模糊函数距离-多普勒平面)
Figure 4. Processing results (range-Doppler plane of the cross-ambiguity function)
图 5 处理结果(互模糊函数距离剖面)
Figure 5. Processing result (range profile of the cross-ambiguity function)
图 7 处理结果(互模糊函数三维图)
Figure 7. Processing result (3-D graph of the cross-ambiguity function)
图 8 处理结果(互模糊函数距离剖面图)
Figure 8. Processing result (range profile of the cross-ambiguity function)
表 1 多通道盲反卷积算法步骤
Table 1. Algorithm procedure of multi-channel blind deconvolution
参数：${\text{κ}},{\rm{batchsize}},L,\alpha ,\beta ,b,h,r$
输入：${\text{x}}\left( n \right)$
初始化：${{\text{W}}_{\rm{0}}} = {\text{I}},{{\text{W}}_k} = {\text{0}}\left( {k = 1,2, ·\!·\!· ,L - 1} \right),{\text{y}}\left( n \right) = {\text{x}}\left( n \right),{{\text{υ}}_k} = {\text{0}}$
循环：
(1) 随机选取${{\text{q}}_1},{{\text{q}}_2}, ·\!·\!· ,{{\text{q}}_{{\rm{batchsize}}}} \in {\text{κ}} $；
(2) 对每个${{\text{h}}_i} \in \left\{ {{{\text{q}}_1},{{\text{q}}_2}, ·\!·\!· ,{{\text{q}}_{{\rm{batchsize}}}}} \right\}$，估计${\text{K}}_{{{\text{y}}^{\left( {{{\text{h}}_i}} \right)}}}^{\left( { - {{\text{h}}_i}} \right)}\left( n \right)$；
(3) 对$k = 0{\rm{ ,1,}} ·\!·\!· {\rm{,}}L - 1$，更新${{\text{υ}}_k}$,${{\text{W}}_k}$:
${{\text{υ}}_k} \leftarrow \beta {{\text{υ}}_k} + \left( {1 - \beta } \right){\rm{E}}\left\{ {\left[ {\sum\nolimits_{{{\text{h}}_i} \in \left\{ {{{\text{q}}_1},{{\text{q}}_2}, ··· ,{{\text{q}}_{{\rm{batchsize}}}}} \right\}} {{\text{K}}_{{{\text{y}}^{\left( {{{\text{h}}_i}} \right)}}}^{\left( { - {{\text{h}}_i}} \right)}\left( n \right) + 2\left( {{\text{y}}\left( n \right) - {\text{x}}\left( n \right)} \right) + {\text{Φ}}\left( n \right)} } \right]{\text{x}}{{\left( {n - k} \right)}^{\rm{T}}}} \right\}$
${{\text{W}}_k} \leftarrow {{\text{W}}_k} - \alpha {{\text{υ}}_k}$;
(4) 更新${\text{y}}\left( n \right)$:${\text{y}}\left( n \right) \leftarrow \sum\limits_{k = {\rm{0}}}^{L - 1} {{{\text{W}}_k}{\text{x}}\left( {n - k} \right)} $；
(5) 判断：收敛或达到最大迭代次数后结束循环。
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表 2 主通道1接收信号成分
Table 2. Signal component of primary channel 1
信号源 信号成分 参数 直达波 多径1 多径2 多径3 强目标1 弱目标2 主辐射源 时延(μs) 0.1 0.3 1.6 2.1 46.1 59.1 幅度(dB) –0.41 –19.53 –28.29 –35.09 –33.15 –43.10 干扰辐射源1 时延(μs) 0 0.7 1.2 2.4 19.9 幅度(dB) –3.10 –19.27 –20.57 –29.79 –33.98 干扰辐射源2 时延(μs) 0 0.5 1.7 2.6 幅度(dB) –2.55 –18.63 –21.75 –33.31
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表 3 主通道2接收信号成分
Table 3. Signal component of primary channel 2
信号源 信号成分 参数 直达波 多径1 多径2 多径3 强目标1 弱目标2 主辐射源 时延(μs) 0.1 0.8 1.6 2.2 46.1 59.1 幅度(dB) –0.16 –20.17 –28.62 –32.52 –30.74 –40.56 干扰辐射源1 时延(μs) 0 0.3 1.5 2.4 幅度(dB) –3.28 –19.99 –23.13 –36.34 干扰辐射源2 时延(μs) 0 0.5 1.8 2.3 幅度(dB) –2.56 –19.58 –25.93 –30.22
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表 4 参考通道接收信号成分
Table 4. Signal component of reference channel
信号源 信号成分 参数 直达波 多径1 多径2 多径3 主辐射源 时延(μs) 0 1.1 1.7 2.9 幅度(dB) 0 –22.05 –28.64 –34.42 干扰辐射源1 时延(μs) 0.2 0.7 1.3 2.8 幅度(dB) –10.17 –22.82 –23.99 –33.00 干扰辐射源2 时延(μs) 0.1 0.5 1.5 2.3 幅度(dB) –9.37 –24.40 –26.03 –35.21
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