CMA算法matlab
时间: 2023-09-09 15:13:28 浏览: 223
CMA算法是一种盲均衡算法,用于恢复接收信号中的目标信号。以下是CMA算法的MATLAB实现代码:
```matlab
function [y,e,ws = func_CMA(x,M,mu,R)
w = zeros(1,M);
w((M+1)/2) = 1;
wo = w;
N = length(x);
m = 1;
for n = M:1:N
coff = x(n:-1:n-M+1);
y(m) = w*coff;
e(m) = y(m)*(abs(y(m))^2 - R);
w = w - 4*mu*e(m)*coff'*y(m);
m = m + 1;
if m<=64*M
e2(m) = mean(e);
else
e2(m) = mean(e(m-64*M:m-1));
end
ws(:,m) = w;
end
end
```
CMA算法具有计算复杂度低、易于实时实现、收敛性能好等优点。它的代价函数只与接收序列的幅值有关,而与相位无关,因此对载波相位不敏感。在CMA盲信道估计之后,可以获得较好的误码率性能指标。CMA作为一种盲均衡算法,不需要训练序列,具有一定的优势。然而,由于其收敛速度较慢和精度不高,在一些高速通信场合的应用受限。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* *3* [【盲均衡】基于CMA恒模盲均衡算法的matlab仿真实现](https://blog.csdn.net/ccsss22/article/details/128795270)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 100%"]
[ .reference_list ]