论文标题
从随机相编码的脉冲中恢复明确的延迟多普勒
Unambiguous Delay-Doppler Recovery from Random Phase Coded Pulses
论文作者
论文摘要
脉冲多普勒雷达遭受范围多普勒的歧义,这转化为最大明确范围和速度之间的权衡。已经提出了几种技术,例如多个PRF(MPRF)方法来减轻此问题。 MPRF方法的缺点是未共同处理接收的样品,从而降低了信号与噪声比(SNR)。为了克服MPRF的缺点,我们采用随机脉冲相编码方法来增加明确的范围区域,同时保留明确的多普勒区域。我们的方法用随机相位编码每个脉冲,从脉冲到脉冲都不同,然后再处理接收的样品以解决范围歧义。该技术通过关节处理增加了SNR,而无需MPRF方法中需要的参数匹配程序。恢复算法是基于正交匹配的追踪设计的,因此可以直接应用于Nyquist或子七叶树样品。明确的延迟多普勒恢复条件是在无噪声设置中以压缩感应理论得出的。特别是,在每个脉冲重复间隔中的样品数量和发射脉冲的数量中给出了与目标数量的上限。模拟表明,在Nyquist和子nyquist样品的两个方案中,我们的方法在命中率方面优于流行的MPRF方法。
Pulse Doppler radars suffer from range-Doppler ambiguity that translates into a trade-off between maximal unambiguous range and velocity. Several techniques, like the multiple PRFs (MPRF) method, have been proposed to mitigate this problem. The drawback of the MPRF method is that the received samples are not processed jointly, decreasing signal to noise ratio (SNR). To overcome the drawbacks of MPRF, we employ a random pulse phase coding approach to increase the unambiguous range region while preserving the unambiguous Doppler region. Our method encodes each pulse with a random phase, varying from pulse to pulse, and then processes the received samples jointly to resolve the range ambiguity. This technique increases the SNR through joint processing without the parameter matching procedures required in the MPRF method. The recovery algorithm is designed based on orthogonal matching pursuit so that it can be directly applied to either Nyquist or sub-Nyquist samples. The unambiguous delay-Doppler recovery condition is derived with compressed sensing theory in noiseless settings. In particular, an upper bound to the number of targets is given, with respect to the number of samples in each pulse repetition interval and the number of transmit pulses. Simulations show that in both regimes of Nyquist and sub-Nyquist samples our method outperforms the popular MPRF approach in terms of hit rate.