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首页> 外文期刊>Microwaves, Antennas & Propagation, IET >Stabilised blind interference suppression of constant modulus-based adaptive array over Rayleigh fading channels by initial antenna selection
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Stabilised blind interference suppression of constant modulus-based adaptive array over Rayleigh fading channels by initial antenna selection

机译：通过初始天线选择来稳定基于常数模的自适应阵列在瑞利衰落信道上的盲干扰抑制

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摘要

This article proposes an initial antenna selection for constant modulus-based blind interference suppression algorithms to stabilise their prominent interference suppression performance. Constant modulus algorithm (CMA) is a well-known blind adaptive array scheme, but it cannot suppress the interference when signal-to-interference power ratio (SIR) is <0 dB. It faces strong limits on their applicable region over Rayleigh fading channels where instantaneous channel gain fluctuates over 10 dB range. Even if the expected desired signal strength is larger than interference, CMA may still miscapture the interference and incorrectly suppress the desired signal. The authors' proposal is simplified approach to select the antenna element whose reception power is maximal. Certain antenna element can be expected to capture the desired signal precisely under the condition where SIR is statistically positive, so that the CMA processor can utilise it as an initial input. This condition will be ensured by increasing antenna element number, supported by the trends that base station antenna elements are going massive. Computer simulations verifies improved interference suppression performance provided by the proposed scheme. This article also verified applicability for multi-modulus algorithm to accommodate M-ary quadrature amplitude modulation (QAM) use.
机译：本文提出了一种基于常数模量的盲干扰抑制算法的初始天线选择，以稳定其出色的干扰抑制性能。恒定模量算法（CMA）是一种众所周知的盲自适应阵列方案，但是当信噪比（SIR）小于0 dB时，它不能抑制干扰。在瑞利衰落信道上，其瞬时信道增益在10 dB范围内波动，其适用区域面临严格的限制。即使预期的所需信号强度大于干扰，CMA仍可能会捕获干扰并错误地抑制所需信号。作者的建议是一种简化方法，以选择接收功率最大的天线元件。可以预期某些天线元件在SIR统计上为正的条件下精确地捕获所需信号，以便CMA处理器可以将其用作初始输入。这种情况将通过增加天线元件的数量来确保，并得到基站天线元件日益庞大的趋势的支持。计算机仿真验证了所提出方案提供的改进的干扰抑制性能。本文还验证了适用于M进制正交幅度调制（QAM）的多模算法的适用性。

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