Wideband MIMO radar beampattern shaping with space-frequency nulling

Wideband MIMO radar beampattern shaping with space-frequency nulling
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具有空频归零的宽带 MIMO 雷达波束方向图整形

DOI:
10.1016/j.sigpro.2019.02.022
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发表时间:
2019-07
期刊:
影响因子:
4.4
通讯作者:
Kong Lingjiang
Kong Lingjiang
中科院分区:
工程技术2区
文献类型:
--
作者:
Yu Xianxiang;Cui Guolong;Yang Jing;Kong Lingjiang

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本文讨论了宽带多输入多输出(MIMO)雷达波形的设计,以逼近期望的波束方向图,并在感兴趣的空频区域内实现预定的空频归零。考虑波束方向图匹配误差和空频阻带能量的特定加权和的目标函数,在恒模(CM)要求下对探测波形进行最小化。为了处理由此产生的非凸(一般也是NP-难)优化问题,提出了一种具有多项式计算复杂度的快速迭代算法。在每一次迭代中,采用一种新的迭代优化算法(IOA)来处理非凸二次规划问题,确保目标值单调减小并收敛到一个有限值,且相应的解满足一阶最优性条件。数值结果表明,与现有方法相比,该算法具有更好的性能。
This paper deals with the design of wideband Multiple-Input Multiple-Output (MIMO) radar waveform to approximate a desired beampattern and achieve prescribed space-frequency nulling in a space-frequency region of interest. An objective function considering a specific weighted sum of the beampattern matching error and the space-frequency stopband energy is presented to minimize under the Constant Modulus (CM) requirement on the probing waveform. To handle the resulting non-convex (also NP-hard in general) optimization problem, a fast iterative algorithm sharing a polynomial computational complexity is proposed. In each iteration, it involves a novel Iterative Optimization Algorithm (IOA) to cope with a non-convex quadratic programming problem ensuring that the objective value monotonically decreases and converges to a finite value, and the corresponding solution fulfills first-order optimality conditions. Numerical results are provided to illustrate the performance of the proposed algorithm compared with the available methods.
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