抗干扰场景下基于LPI的资源优化分配
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河南理工大学物理与电子信息学院 焦作 454003

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TN973.2

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河南省科技攻关项目(232102211005)资助


Optimization of resource allocation based on LPI in anti-interference scenario
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School of Physics and Electronic Information Engineering, Henan Polytechnic University,Jiaozuo 454003, China

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    摘要:

    为了使雷达能够应对干扰场景并提高信号的LPI性能,本文提出了一种新型资源分配方案,而所研究的具体干扰类型为欺骗性干扰。首先,推导出欺骗性距离在三维情况下的CRLB。然后,依据CRLB建立抗干扰下的资源分配问题,具体来说,将总功率消耗量作为目标函数,并将CRLB作为性能约束,通过调配传感器资源、功率资源和带宽资源使雷达满足预定性能约束的前提下抑制总功率数值。为了求解所提出的优化问题,本文有针对性地先求解属于整数规划范畴的传感器资源分配问题,然后采用循环形式的SQP算法求解功率和带宽联合分配问题。最终的仿真结果显示,与仅优化功率的分配方案相比,新方案的功率消耗量低于该方案的50.0%,验证了新方案在降低总功率方面的可行性。此外,仿真实验中又与非线性规划遗传算法作对比,简单说明本文算法的优势和不足。最后给出了截获接收机处的功率对比结果和分析,结果显示出最大功率成分的有效下降,从而提高了信号的LPI特性。

    Abstract:

    In order to enable radar to deal with interference scenario and improve LPI performance of signal, a novel resource allocation scheme is proposed in this paper, and the specific jamming type studied is deceptive jamming. Firstly, the CRLB for deceptive distance in three dimensions is derived. Then, the resource allocation problem under anti-interference is established according to the CRLB. Specifically, the total power consumption is taken as the objective function, and the CRLB is taken as the performance constraint. The total power value is suppressed under the premise that the radar meets the predetermined performance constraint by allocating sensor, power and bandwidth resources. In order to solve the proposed optimization problem, this paper firstly solves the sensor resource allocation problem belonging to integer programming, and then adopts the SQP algorithm in cyclic form to solve the joint power and bandwidth allocation problem. The final simulation results show that the power consumption of the new scheme is less than 50.0% compared with the optimal power allocation scheme, which verifies the feasibility of the new scheme in reducing the total power. In addition, the advantages and disadvantages of the proposed algorithm are explained by comparing with the nonlinear programming genetic algorithm in the simulation experiment. Finally, the power comparison results and analysis at the interception receiver are given, which show that the maximum power component effectively decreases, so as to improve the LPI performance of the signal.

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李辉,武会斌,王伟东,侯庆华,张恺.抗干扰场景下基于LPI的资源优化分配[J].电子测量技术,2024,47(8):69-77

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  • 在线发布日期: 2024-07-15
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