In this letter, we propose a new adaptive anti-interference equalization technique for fast time-varying channels. The equalization is implemented by basis expansion model (BEM) based time-varying (TV) finite impulse response (FIR) filters. By exploiting the sparsity of angle of arrival, we propose the idea of adaptive basis expansion for direct equalization. The optimization problem of the basis functions is formulated and solved by block orthogonal matching pursuit (BOMP) algorithm. We further propose a decision directed solution to improve the equalization performance. Simulation results show that the proposed methods exhibit a significant gain over conventional schemes.

中文翻译：

---

V2V 通信时变通道的稀疏感知直接均衡


在这封信中，我们提出了一种针对快速时变信道的新的自适应抗干扰均衡技术。均衡是通过基于时变 (TV) 有限脉冲响应 (FIR) 滤波器的基扩展模型 (BEM) 来实现的。通过利用到达角的稀疏性，我们提出了直接均衡的自适应基扩展的想法。基函数的优化问题通过块正交匹配追踪（BOMP）算法来制定和解决。我们进一步提出了一种决策导向的解决方案来提高均衡性能。仿真结果表明，所提出的方法比传统方案表现出显着的增益。