2018
DOI: 10.1007/978-981-10-8204-7_27
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DDTRCSTCT: Design of Doppler Tolerant Radar Code to Increase SNR Using Trellis Code Technique

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Cited by 2 publications
(13 citation statements)
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“…The proposed code gives better auto-correlation response when compared with Kasami and Gold codes which are commonly used to reduce side lobes in radar target detection process and also applicable to static objects only. For moving object detection the Doppler tolerance of the proposed codes are compared with [13,14]. The proposed approach gives large clear windows when compared with the existing methods.…”
Section: Discussionmentioning
confidence: 99%
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“…The proposed code gives better auto-correlation response when compared with Kasami and Gold codes which are commonly used to reduce side lobes in radar target detection process and also applicable to static objects only. For moving object detection the Doppler tolerance of the proposed codes are compared with [13,14]. The proposed approach gives large clear windows when compared with the existing methods.…”
Section: Discussionmentioning
confidence: 99%
“…In the proposed approach odd parity (Step 1) is appended to the codes and the resultant codes are represented in table 2 Now considering step 2, tables 3 and 4 depicts all the three cases of this step. From figure 6 it has been observed that the side noise is either of amplitude 0.2 or less than 0.2, which is the standard value of noise lobe [13,14]. There exist almost clear windows from frequencies 2 KHz to 40 KHz.…”
Section: Generation Of (7 4) Codementioning
confidence: 97%
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“…Bhure et al and Alotaibi (1,2) presented an approach in which the authors created multiple windows. However in both the techniques side lobes still exist at desired Doppler.…”
Section: Introductionmentioning
confidence: 99%
“…The novelty of this paper uses the Trellis code, in addition to this approach uses equal-weighted hex codes to generate the input sequence for the trellis code to enhance the target detection with respect to desired Doppler. This paper is the extended version of (1) in which extra work has been carried out to improve target detection. The added work has three folds i.e.…”
Section: Introductionmentioning
confidence: 99%