2019
DOI: 10.1088/1742-6596/1169/1/012017
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Multi-dimensional Ambiguity Function for Coherent Pulsed-LFM FDA Radar

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Cited by 5 publications
(4 citation statements)
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“…The traditional ambiguity function characterises the output of the matched filtering [26]. Since the transmit signal of IRCS‐FDA is angle‐time‐dependent, the traditional range‐Doppler ambiguity function cannot evaluate its performance.…”
Section: Signal Modelmentioning
confidence: 99%
“…The traditional ambiguity function characterises the output of the matched filtering [26]. Since the transmit signal of IRCS‐FDA is angle‐time‐dependent, the traditional range‐Doppler ambiguity function cannot evaluate its performance.…”
Section: Signal Modelmentioning
confidence: 99%
“…Furthermore, both spatial receive beamforming and temporal matched filtering can be implemented in one step by designing the joint space-time matched filtering function as follows In this section, the effectiveness of the proposed method is examined and compared with the recent study. Multidimensional ambiguity function (AF) [23] which is an effective evaluation tool in array signal processing, is applied to validate the high DOFs characteristics of the proposed transmitting strategy. Considering a collocated pulsed-coherent FDA radar with uniform linear antenna array set in azimuth, the system parameters in simulation are shown in Table 1.…”
Section: Received Signal Processing Of the Proposed Transmitting Stra...mentioning
confidence: 99%
“…Although the dot-shaped transmit beampattern can enhance the signal energy in the target area, the dot-shaped beam cannot automatically scan space without the aid of phase shifters or a rotating array. Wang et al [22,23] have proposed a waveform design method based on piecewise linear frequency modulation (LFM) signals and dividing space into Q continuous angular sectors, to achieve automatic beam scanning and increase the echo signal energy. Since distinct sub-LFM signals are distributed in different angular sectors, the transmitted beampattern, as shown in Fig.…”
Section: Introductionmentioning
confidence: 99%