Sidelobes Level Improvement by Using a New Scheme Used in Microwave Pulse Compression Radars

Abstract

Abstract-P4 polyphase code is well known in microwave pulse compression technique. There are different reduction techniques to reduce the sidelobes of P4 code. This paper presents a new sidelobe reduction technique which its results are excellent. To valid our work, other sidelobe reduction techniques such as Woo filter and modified forms of Woo filter are investigated and compared with the technique presented in this paper. Results show that the method introduced in this paper produces better peak side lobe ratio (PSL) and integrated side lobe ratio (ISL) than other solutions.

Development of a New Approach for High-Quality Quadrupling Frequency Optical Millimeter-Wave Signal Generation Without Optical Filter

“…Compared with the conventional electrical method, the optical method is preferable [15][16][17]. By beating the two high-order optical sidebands with good coherence in a square-law photodetector (PD), a laser with an optical external phase or intensity modulator is a promising and attractive technology for the generation of high-frequency mm-wave signals, the frequency of which can be several-folds that of the radio frequency (RF) local oscillator [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. In this technology, a high optical sideband suppression ratio (OSSR) is extremely desirable for the generation of high-quality mm-wave signals.…”

Extended Optimal Filters for Adaptive-Ontransmit Radar Systems Using Binary Codes

“…The code self-noise makes it harder to detect the weaker echoes from smaller targets, thereby limiting the dynamic range of the radar system utilizing such waveforms. Different techniques have been proposed to minimize the SLL; these include windowing [22,23], coding [24][25][26][27], mismatched filtering [28][29][30][31][32][33][34], and others [35,36], including waveform design [37][38][39][40][41][42]. In this latter group, we can include the Golay code pairs with null levels of SSL and ISL; however, despite of the advantages provided by the use of these code pairs, its use requires the transmission and reception of two single sequences instead of one [40] slowing down the response time of the systems.…”

Sidelobes Reduction Using Synthesis of Some NLFM Laws

“…In radar literature, there are many interesting scientific research works which have been done to investigate scanning waveforms, and attempt to design optimal (i.e., as level of the sidelobes suppression) NLFM signals [6][7][8][9]. However, all these processing methods can be generally divided into two major research directions, namely: a) design and synthesis of pseudo-NLFM (piecewise) waveforms which are in fact, signals with LFM predistortioned on short intervals into temporal domain or corrected into spectral domain [10,11]; b) design and synthesis of proper (i.e., as predefined shape of the energy/power spectral density (E/PSD) function) pure NLFM waveforms using for example, proper iterative methods [3,11], stationary phase principle, [12][13][14][15] or explicit functions cluster method [16] etc.…”

“…However, all these processing methods can be generally divided into two major research directions, namely: a) design and synthesis of pseudo-NLFM (piecewise) waveforms which are in fact, signals with LFM predistortioned on short intervals into temporal domain or corrected into spectral domain [10,11]; b) design and synthesis of proper (i.e., as predefined shape of the energy/power spectral density (E/PSD) function) pure NLFM waveforms using for example, proper iterative methods [3,11], stationary phase principle, [12][13][14][15] or explicit functions cluster method [16] etc. In addition, the most part of the processing methods used to assure a consistent sidelobes reduction belonging to standard computational techniques [6][7][8][9][10][11][12][13][14][15][16], but some interesting aspects connected with AI paradigms are also discussed in literature [17].…”