Joint Constant-Envelope Waveform and Receiver Design for MIMO Radar in the Presence of Clutter

TANG Bo; ZHANG Yu; LI Ke; GAO Hui

doi:10.3969/j.issn.0372-2112.2014.09.007

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Joint Constant-Envelope Waveform and Receiver Design for MIMO Radar in the Presence of Clutter

更新时间：2025-07-16

- Joint Constant-Envelope Waveform and Receiver Design for MIMO Radar in the Presence of Clutter
- Acta Electronica Sinica Vol. 42, Issue 9, Pages: 1705-1711(2014)
- 作者机构：
  
  电子工程学院,安徽,合肥,230037
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61201379, No.61179036);Natural Science Foundation of Anhui Province (No.1208085QF103)
- DOI：10.3969/j.issn.0372-2112.2014.09.007
  CLC： TN959.1
- Published：2014
- 稿件说明：
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TANG Bo, ZHANG Yu, LI Ke, et al. Joint Constant-Envelope Waveform and Receiver Design for MIMO Radar in the Presence of Clutter[J]. Acta Electronica Sinica, 2014, 42(9): 1705-1711.
DOI：

TANG Bo, ZHANG Yu, LI Ke, et al. Joint Constant-Envelope Waveform and Receiver Design for MIMO Radar in the Presence of Clutter[J]. Acta Electronica Sinica, 2014, 42(9): 1705-1711. DOI： 10.3969/j.issn.0372-2112.2014.09.007.

摘要

为提高集中式MIMO雷达在强杂波中的目标检测性能，同时兼顾雷达发射机对于恒定包络波形的需求，以系统输出信杂噪比最大为优化准则，研究了MIMO雷达恒模多波形及接收机权值的联合优化问题.基于循环优化算法将联合优化问题分解为两个子优化步骤，并提出了基于半正定松弛及高斯随机化的恒模波形设计算法.结果表明所提算法能够在迭代过程中不断增加输出信杂噪比直至算法收敛.此外，其相比于能量约束下的最优波形性能损失很小，能够实现自适应杂波抑制并改善目标检测性能.

Abstract

Aiming to improve the detection performance of colocated multiple-input-multiple-output (MIMO) radar in the presence of strong clutter

we addressed the joint optimization problem of the waveform and receiver based on maximizing signal to clutter plus noise ratio (SCNR).Considering that practical radar systems employ constant envelope signals

we also imposed a constant envelope constraint on the waveform.During the optimizations

we divided the joint design problem into two steps

and proposed an algorithm for the design of the constant envelope waveform based on semi-definite relaxation (SDR) and Gaussian randomizations.Numerical simulations show that the proposed algorithm converges with increasing SCNR.Moreover

compared with the optimal waveform under the energy constraint

the SCNR loss is negligible.Finally

the capability of adaptive clutter suppression and improved detection performance of the proposed algorithm is clearly demonstrated.

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