Efficient Joint Transmit Waveform and Receive Filter Design Based on a General Lp-norm Metric for Sidelobe Level of Pulse Compression

Finite length of sequences that are modulated both in phase and amplitude and have an ideal autocorrelation function (ACF) consisting of merely a pulse have many applications in control and communication systems. They are widely applied in control and communication systems, such as in pulse compression systems for radar and deep-space ranging problems [1-5]. In radar design, the important part is to choose a waveform, which is suitable to be transmitted because the waveform controls resolution in clutter performance. In addition, it can solve a general signal problem particularly related to the digital processing. Energy ratio (ER), total side lobe energy (SLE), and peak sidelobe level (PSL) are three properties of such sequences interest. This paper presents a method using the Complementation, Cyclic Shift and Bit Addition for synthesizing and optimizing a binary sequence implemented to improve the sequences of a similar quality with the Barker sequence, particularly for lengths greater than 13. All of these methods are guided by the specific parameter with good characteristics in ACF (ER, SLE, and PSL) [6,7,8]. Such sequences can then be effectively used to improve the range and Doppler resolution of radars.

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A new pulse compression technique generating optimal uniform range sidelobe and reducing integrated sidelobe level

Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037] ◽

10.1109/radar.2000.851874 ◽

2002 ◽

Author(s):

Woo-Kyung Lee ◽

H.D. Griffiths

Keyword(s):

Pulse Compression ◽

Sidelobe Level ◽

Compression Technique

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M-ary CPM pulse compression filter design for low, flat sidelobes

2014 International Radar Conference ◽

10.1109/radar.2014.7060339 ◽

2014 ◽

Author(s):

Ulku Cilek Doyuran ◽

Recep Firat Tigrek

Keyword(s):

Pulse Compression ◽

Filter Design

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A Novel Design of Matched Filter for Digital Receivers

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c6002.098319 ◽

2019 ◽

Vol 8 (3) ◽

pp. 6000-6003

Keyword(s):

Pulse Compression ◽

Filter Design ◽

Matched Filter ◽

Signal To Noise Ratio ◽

Digital Signal ◽

Receiver System ◽

Digital Pulse ◽

Pros And Cons ◽

Processing Techniques ◽

Digital Receivers

In this paper, a brief review regarding introduction to the digital signal processing techniques particularly Digital Pulse Compression and Linear Frequency Modulation involved in matched filtering and some designs being used is presented. Also, the matched filter being developed is discussed by highlighting its pros and cons. The introduction of matched filter in the communication receivers has simplified the design of the system. The matched filter has improved the signal to noise ratio of the receiver system and hence has become an important element in the communication system. This paper also presents the possible challenges; the matched filter design and simulation results in MATLAB have shown satisfactory outputs of the receiver.

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Mismatched Filter Design using Improved Cuckoo Search Algorithm for Optimum Detection

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b1022.1292s319 ◽

2019 ◽

Vol 9 (2S3) ◽

pp. 93-97

Keyword(s):

Pulse Compression ◽

Filter Design ◽

Matched Filter ◽

Search Algorithm ◽

Short Pulse ◽

Cuckoo Search ◽

Optimization Techniques ◽

Radar Signal ◽

Lévy Flight ◽

Levy Flight

In radar signal processing pulse compression has been extensively used which solves the problem of maintaining simultaneously high transmit energy of long pulse and large range resolution of short pulse. The concept of pulse compression can be best understood from matched filtering that determines the ratio of peak of the sidelobe to peak value of mainlobe. But the resolution of weak targets from stronger one is difficult due to range sidelobes in the auto-correlation pattern of matched filter. With this idea of reducing these sidelobes, various optimization techniques are used. This paper represents a method to optimize the performance of chaotic sequence using mismatched filter. The optimization completely depends on the design of coefficients of mismatched filter at the receiver side. Here improved cuckoo search method is used instead of Lévy flight cuckoo search with the differential evolution technique to complete the design of cascaded mismatched filter. Finally, improved results are obtained as compared to Lévy flight method of cuckoo search.

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Analysis of Non Linear Frequency Modulation (NLFM) Waveforms for Pulse Compression Radar

Jurnal Elektronika dan Telekomunikasi ◽

10.14203/jet.v18.27-34 ◽

2018 ◽

Vol 18 (1) ◽

pp. 27 ◽

Cited By ~ 2

Author(s):

Muhamad Ridwan Widyantara ◽

Sugihartono ◽

Fiky Y. Suratman ◽

Slamet Widodo ◽

Pamungkas Daud

Keyword(s):

Frequency Modulation ◽

Doppler Effect ◽

Pulse Compression ◽

Weighting Function ◽

Additive White Gaussian Noise ◽

Linear Frequency Modulation ◽

Sidelobe Level ◽

Linear Frequency ◽

Non Linear ◽

Peak Sidelobe Level

Non Linear Frequency Modulation (NLFM) method can suppress the peak sidelobe level without additional windowing function. NLFM doesn’t require any weighting function because it has inbuilt one. NLFM has a variable frequency deviation function due to the relation between frequency and time of the signal which is not linear so that it is possible to suppress of peak sidelobe level. This paper studies the characteristic of various NLFM waveform, such as NLFM Tri Stage Piece Wise (TSPW), NLFM S, and NLFM Taylor. The study of Pulse Compression of NLFM waveform consists of three aspects. First, analysis of pulse compression performance. Second, analysis of background noise. Last, analysis of Doppler effects. The simulation is done using Matlab software. The lowest value Peak Sidelobe Level (PSL)of NLFM TSPW is about -20 dB while NLFM S and NLFM Taylor are about -32 dB and -39 dB. Additive White Gaussian Noise (AWGN) and Doppler Effect influenced the value of PSL for each NLFM waveform. NLFM Taylor has the best NLFM waveform when the Doppler Effect and AWGN cause the value of PSL become high. Comparison between NLFM Taylor and Linear Frequency Modulation(LFM) is done in radar surveillance applications to analyze the detectability performance where the condition of Radar Cross Section (RCS) for each target has different significant value. The three targets are commercial airplanes, helicopter and fighter. For detectability performance, NLFM Taylor can detect more clearly than LFM conventional.

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