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Study on the Characteristics of LFM Signals, BC Signals and Their Mixed Modulation Signals ()

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*International Journal of Communications, Network and System Sciences*,

**10**, 196-205. doi: 10.4236/ijcns.2017.108B021.

1. Introduction

LFM signal and BC signal are often used in pulsed radar. LFM signal has the lower side of the sidelobe after pulse compression, and its Doppler frequency is not sensitive, but the signal form is relatively simple, vulnerable to interference. As the BC signal can use code agile technology, BC signal anti-jamming performance is better, but the BC signal is more sensitive to Doppler frequency [1].

In order to integrate the advantages of LFM and BC signals, make up for the shortcomings of the two, this paper proposes a mixed modulation signal with intra-linear chirp and inter-pulse phase coding. This hybrid modulation signal has both LFM and BC signal advantages, but also makes up for their own shortcomings. LFM-BC signal obtains large signal to noise ratio to improve by small time and narrow bandwidth, to avoid the large time and wide bandwidth problems [2].

In this paper, we study and compare the mixed-modulation signal and the LFM and BC signal from the aspects of the time characteristic and frequency characteristic, fuzzy functions, pulse compression and Doppler characteristics, low intercepting characteristics, in order to verify the application of mixed- modulation signals.

2. Signal Time Domain and Frequency Domain Characteristics

2.1. Signal Time Domain Characteristic

The time-domain expression of the LFM signal is as follows:

(1)

where is the pulse width, k = B/T is called the frequency modulation slope, B is the signal bandwidth.

The time-domain expression of the BC signal is as follows:

(2)

where T is the sub-pulse width, is the value of the kth code (1 or −1), P is the symbol length, and is the symbol waveform.

At the same time can also be written

(3)

where

(4)

(5)

mixed modulation signal with intra-linear chirp and inter-pulse phase coding can be expressed as:

(6)

2.2. Signal Frequency Domain Characteristic

The signal frequency domain expression can be obtained from the time domain expression of the signal and the Fourier transform property.

The frequency domain expression of the LFM signal is:

(7)

The frequency domain expression of the BC signal:

(8)

where

(9)

(10)

Since the mixed modulation signal corresponds to the convolution of the LFM signal and the BC signal in the time domain, the frequency domain is the product of the two spectra [3]. So the mixed-modulation signal (LFM-BC) frequency domain expression is

(11)

(12)

It can be seen from the formula that the spectrum of the mixed modulation signal depends mainly on the shape of, that is, the spectrum of the mixed modulation signal is similar to the spectrum of, As for the ad-

ditional factor, it is related to the form of the code used, it is

only in the original LFM signal on the spectrum to bring some glitches, not too much to change its spectral shape.

3. Fuzzy Function Graph

The fuzzy function is defined as the square of the two-di- mensional cross-correlation function. The exact expression is

(13)

According to the definition of fuzzy function, the fuzzy function of LFM signal is:

(14)

The fuzzy function of the BC signal is expressed as:

(15)

where, is a fuzzy function of, and is a fuzzy function of.

(16)

(17)

Substituting into the formula, we can get the fuzzy function of the BC signal.

The fuzzy function of the mixed modulation signal is the convolution of the LFM signal fuzzy function and LFM signal fuzzy function according to the fuzzy function multiplication rule.

(18)

The following figure shows the fuzzy functions of the three signals.

It can be seen from Figure 1 that the fuzzy function graph of the LFM signal is tilted blade type, and has the origin symmetry and obtains the maximum value at the origin.

Figure 2 is the fuzzy function graph of the 13-bit Barker code; we can see that the fuzzy function graph center is similar to the pin-type [4].

Figure 3 is the fuzzy function graph of the LFM-BC, we can see that the fuzzy

Figure 1. The fuzzy function graph of the LFM signal.

Figure 2. The fuzzy function graph of the 13-bit Barker code signal.

Figure 3. The fuzzy function graph of the LFM-BC signal.

function graph center is similar to the pin-type. The LFM-BC has good measurement properties.

4. Pulse Compression Results and Doppler Characteristics

4.1. LFM Signal Pulse Compression Results and Doppler Characteristics

When the LFM signal has the Doppler frequency of, the output of the matched filter is:

(19)

The above equation shows that when f_d = 0, the output pulse has a sinc function type envelope. When f_d ≠ 0, the sinc function envelope will produce a displacement, causing the ranging error, while the output pulse amplitude slightly decreased [5].

Generally radar LFM pulse waveform has a coupling between the Doppler frequency and the measured distance. That is, when the measured target exists Doppler frequency, the radar measurement target distance and the target where the real distance there is a certain difference.

The following figure illustrates the effect of Doppler frequency on pulse output. The following figure shows the pulse output when the Doppler frequency is 0 Hz, 60 kHz, 100 kHz, 200 kHz.

It can be seen from Figure 4 that the main sidelobe ratio of the LFM signal is reduced by Doppler shift, but the effect is not obvious. That is, when there is a large Doppler frequency, it also can get a large compression ratio. That is, LFM signal is not sensitive to Doppler frequency.

4.2. BC Signal Pulse Compression Results and Doppler Characteristics

The output of the BC signal through the matched filter is its autocorrelation function,

(20)

In this paper, 13-bit Barker code as an example to analyze the two-phase pulse pressure output. Barker code is a binary pseudo-random sequence code,

Figure 4. Simulation of LFM signal pulse compression under different doppler frequency shift.

, n = 0, 1, ・・・, P ? 1. Its nonperiodic autocorrelation function is satisfied.

(21)

The following figure shows the pulse output when the Doppler frequency is 0 Hz, 60 kHz, 100 kHz, 200 kHz.

It can be seen from Figure 5 that the peak of the BC pulse output signal does not shift due to the Doppler frequency, but the peak decreases much as the Doppler frequency increases. So the BC signal is more sensitive to Doppler frequency, only applies when the Doppler frequency is small.

4.3. LFM-BC Signal Pulse Compression Results and Doppler Characteristics

The impulse response of the LFM-BC signal is,

(22)

Let,

(23)

(24)

It can be seen from the formula, the LFM-BC signal matching filter is exactly the LFM signal matched filter and the BC signal matched filter impulse response convolution.

The frequency domain is expressed as,

(25)

We can divide the compression process into two steps: The first step through

Figure 5. Simulation of BC signal pulse compression under different doppler frequency shift.

the LFM filter, get the BC signal. The second step is then through the BC matched filter to obtain the final pulse compression signal. The two-step pulse compression process can also be done in one step.

The following figure shows the pulse output when the Doppler frequency is 0 Hz, 60 kHz, 100 kHz, 200 kHz.

It can be seen from Figure 6 that the LFM-BC signal is basically insensitive to the Doppler signal, As a new type of pulse compression signal, it has the advantages of two signals, but also to make up for their own deficiencies.

5. LPI Characteristics Analysis

The intercept factor is a measure of the degree to which the radar signal is intercepted. The smaller the indicates that the signal is more difficult to intercept. When the radar uses ultra-low sidelobe antenna, other parameters are certain, and intercept the receiver parameters are also certain. The intercept factor

wide product of the transmitted waveform. That is, where T is

the signal width, B is the adjusted signal bandwidth, K is the combined effect of other factors [6].

Let the chirp width of the chirp signal be and the bandwidth is, then

the intercepting factor is:.

Set the number of BC signal bit P, sub-pulse width is still. The time width of the BC signal is. The spectrum of the BC signal depends primarily on the spectrum of the sub-pulse. So the BC signal bandwidth is approximately

Figure 6. Simulation of LFM-BC signal pulse compression under different doppler frequency shift.

, The intercept probability factor is:.

LFM-BC signal first pulse within the pulse frequency, and then pulse phase coding. So the time width of the LFM-BC signal is, the bandwidth is similar to the bandwidth of the LFM signal. The interception factor of the mixed modulation signal is:

(26)

That is, the interception factor of the LFM-BC signal is times of the LFM signal, times of the BC signal. It can be seen that the longer the BC

code length, the wider the bandwidth of the LFM signal, the more obvious the improvement of the intercept factor of the LFM-BC signal [7].

The LFM-BC signal has the smallest intercept factor, so the signal has better low intercept performance. It can prevent the signal from being intercepted by the receiver to detect and intercept, thereby enhancing the radar in the battlefield combat capability and viability.

6. Conclusion

The mixed modulation signal (LFM-BC signal) of LFM signal and BC signal proposed in this paper inherits the advantages of two kinds of single modulation methods, and has some improvement. The implementation of this combination is relatively simple, is a practical combination of signal. At the same time, Doppler shift has little effect on LFM-BC signal. The LFM-BC signal requires a smaller code length than the pure phase code, and the required time-bandwidth product is smaller than the LFM. So the LFM-BC signal obtains a large signal to noise ratio improved by small time and narrow bandwidth. In addition, the LFM-BC signal has a more complex form of signal, making it difficult to extract the radar by the radar intercept receiver. This is the signal characteristic required by the LPI radar.

Acknowledgements

This work is supported partly by National Natural Science Foundation of China under Grant No. 61301205 and No. 61571146, National Defense Based Science Research Pro-gram under Grant No. JCKY2013604B001. This paper is funded by the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation.

Conflicts of Interest

The authors declare no conflicts of interest.

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