Radar system analysis and modeling

Design of Optimum Weighting Functions for LFM Signals

“…Fig.2-2 compares the contours for the LFM ambiguity function and the ambiguity function of a biphase-coded signal. These contours correspond to a 3.92 dB level (Barton, 2005;Peebles, 1998) below maximum at ( = 0, = 0). Both of the signals have equal pulse duration of T=MT 0 and bandwidth of B ≈ 1/T 0 , where M is the number of subpulses for the biphasecoded signal and T 0 is the duration of each subpulse.…”

“…Linear frequency-modulated (LFM) pulse signals are probably the most common type of pulse compression waveforms for various radar systems (Barton, 2005;Cook&Bernfeld, 1967;Curlander & McDonough, 1991;Levanon & Mozeson, 2004;Richards, 2005;Skolnik, 2008). LFM signals are also often the waveform of choice for wideband systems, where the required bandwidth may be hundreds of megahertz.…”

A Study on Receiving Beam Pointing Error and MTI(Moving Target Indication) Performance in a Bistatic Radar Using Pulse Chasing

“…그림 2는 Jackson [6] 이 [7] . MTI 필터의 성능을 결정하는 중요 요소들로는 클러터 자 체의 특성, 시스템의 불안정 요소들 [8] 과 회전하는 안 테나의 안테나 빔 변조의 영향과 레이더 플랫폼의 기동에 의한 영향들 [9] 이 있다. [10], [11] 가 존재하게 된다.…”

“…MTI 필터의 성능은 클러터 감쇄 성능과 함께 개 선 인자(I: Improvement Factor)로도 표현되며, 단일지 연선인 경우, 신호 성분의 필터에 대한 이득값 [9] 인 '2'을 고려하여 CA에 곱하면 된다. 즉, 식 (12)를 이 용하면 빔 조향 오차에 의해 발생된 펄스 폭 변화가 MTI 시스템의 개선 성능을 제한하는 표현식은 다음 과 같이 주어진다.…”

A Weak Signal Detection Method Based on Double Time Difference of Arrival Collaborative Mechanism

“…At last century 50s,some scholars proposed the matched filtering theory under maximum SNR [1][2][3] .The matched filtering is the best detector under WGN(White Gaussian Noise),however it requires the format of signals is totally known,which may not be sufficed in detection.And some scholars proposed the radiometer method to detect signals,which is also namely energy detector.This method can be used to adapt lots of signals cause it doesn't need priori informations so that it has been used widely.On the other hand,this method performance badly when the signal is weak.In recent years,some new weak signal detection methods are gradually proposed such as TBD(track-before-detection),chaos theory,wavelet transformation and so on.But all the methods aslo have many problems such as hard to apply engineering and so on.…”