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Reducing the Sidelobes in Doppler-Range Beam Pattern and Controlling the Frequency Channel in SIAR
Wireless Communications and Mobile Computing ( IF 2.146 ) Pub Date : 2023-8-24 , DOI: 10.1155/2023/3451354
Pourya Yaghoubi Aliabad 1 , Hossein Soleimani 1 , Mohammad Soleimani 1
Affiliation  

Synthetic impulse and aperture radar (SIAR) is a multi-input multi-output orthogonal multicarrier frequency radar, kind of frequency diverse array (FDA). This radar has omnidirectional emission in the transmitter and each receiver or receiving array can form a beam. The 4D matched filter of this radar’s circular arrays can reveal the range, elevation angle, azimuth angle, and Doppler. The existence of a high sidelobe in the range-Doppler is one of the significant challenges of this radar, and pulse-to-pulse frequency code non-agile (PPFCNA) and pulse-to-pulse frequency code agile (PPFCA) are often used to reduce it. Weighting is one of the available methods for reducing sidelobes in array radars, but weighting in the matched filter is more effective in SIAR radars due to their ability to transmit signals with different and orthogonal frequencies. This paper proposes the use of amplitude weighting in the submatched filter, which is made possible by increasing the degree of freedom in the SIAR process. In this method, each receiver’s signal is independently processed and weighted with a submatched filter. Then, a synthetic pulse is formed by combining the data from multiple channels. The output of the simulation with weighting in the matched filter for the PPFCNA indicates an 8.7908 dB reduction in sidelobes, while the output for the PPFCA indicates a 3.3779 dB reduction in sidelobes.

中文翻译:

减少多普勒波束方向图的旁瓣并控制 SIAR 中的频道

合成脉冲孔径雷达(SIAR)是一种多输入多输出正交多载波频率雷达,属于频率不同阵列(FDA)。这种雷达的发射器具有全向发射,每个接收器或接收阵列可以形成波束。该雷达圆形阵列的 4D 匹配滤波器可以显示距离、仰角、方位角和多普勒。距离多普勒中高旁瓣的存在是该雷达的重大挑战之一,经常使用脉冲到脉冲频率码非捷变(PPFCNA)和脉冲到脉冲频率码捷变(PPFCA)来减少它。加权是减少阵列雷达旁瓣的可用方法之一,但匹配滤波器中的加权在 SIAR 雷达中更为有效,因为它们能够传输不同频率和正交频率的信号。本文提出在子匹配滤波器中使用幅度加权,这可以通过增加 SIAR 过程的自由度来实现。在此方法中,每个接收器的信号均通过子匹配滤波器进行独立处理和加权。然后,通过组合来自多个通道的数据形成合成脉冲。PPFCNA 的匹配滤波器中加权的仿真输出表明旁瓣减少了 8.7908 dB,而 PPFCA 的输出表明旁瓣减少了 3.3779 dB。通过组合来自多个通道的数据形成合成脉冲。PPFCNA 的匹配滤波器中加权的仿真输出表明旁瓣减少了 8.7908 dB,而 PPFCA 的输出表明旁瓣减少了 3.3779 dB。通过组合来自多个通道的数据形成合成脉冲。PPFCNA 的匹配滤波器中加权的仿真输出表明旁瓣减少了 8.7908 dB,而 PPFCA 的输出表明旁瓣减少了 3.3779 dB。
更新日期:2023-08-24
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