Suppression of multiple jammers with significantly different power levels

Y. Poberezhskiy, G. Poberezhskiy
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引用次数: 3

Abstract

In many applications, software defined receivers (SDRs) can be victims of intentional and/or unintentional jamming. Often, multiple jamming signals (JSs) at their antennas have significantly different power levels. In this paper, suppression of JSs is considered for the most challenging case when some of the JSs are strong enough to desensitize or even damage the input circuits of victim SDRs. Two-stage spatial suppression of JSs is proposed to cope with such a situation. It is shown that this method is effective when the receiver antenna array has an adequate number of elements. Suppression of JSs always requires high dynamic range of victim SDRs. However, the requirements for the dynamic range become even higher when the two-stage spatial suppression of JSs is impossible. Implementation of a novel sampling technique based on a new interpretation of the sampling theorem is the most promising way to increase the dynamic range. If spatial suppression of JSs is impossible, or it is not sufficiently effective, other properties of JSs can be exploited. Adaptive combining of robust and Bayesian approaches is a beneficial anti-jam strategy.
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抑制具有显著不同功率水平的多个干扰
在许多应用中,软件定义接收机(sdr)可能成为有意和/或无意干扰的受害者。通常,天线上的多个干扰信号(JSs)具有显著不同的功率水平。本文考虑了最具挑战性的情况下对JSs的抑制,即某些JSs强到足以使受害sdr的输入电路脱敏甚至损坏。针对这种情况,提出了两阶段空间抑制JSs的方法。结果表明,当接收天线阵列具有足够的单元数时,该方法是有效的。对JSs的抑制总是需要受害者sdr的高动态范围。然而,当两级空间抑制无法实现时,对动态范围的要求就更高了。基于采样定理的新解释的新采样技术的实现是增加动态范围最有希望的方法。如果不可能对JSs进行空间抑制,或者不够有效,则可以利用JSs的其他特性。鲁棒和贝叶斯方法的自适应结合是一种有效的抗干扰策略。
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